{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 资产组合构建"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 本段代码利用quantOS系统进行资产分析及组合构建，并通过比较沪深300指数波动率及其成分\n",
    "## 股波动率中位数，说明组合的作用 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 根据资产性质组合中债指数，沪深300全收益指数以及阿尔法指数\n",
    "## 2. 比较沪深300指数波动率及成份股波动率中位数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 系统设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# encoding: utf-8\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime\n",
    "import seaborn as sns\n",
    "import matplotlib.mlab as mlab\n",
    "import scipy.stats as stats\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "sns.set_context('poster')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from jaqs.data import RemoteDataService\n",
    "import jaqs.util as jutil\n",
    "from __future__ import print_function, unicode_literals, division, absolute_import\n",
    "\n",
    "from jaqs.data import RemoteDataService, DataView"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Begin: DataApi login 17321165656@tcp://data.quantos.org:8910\n",
      "    login success \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'0,'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataview_dir_path = '.'\n",
    "backtest_result_dir_path = '.'\n",
    "\n",
    "import os\n",
    "phone = os.environ.get('QUANTOS_USER')\n",
    "token = os.environ.get('QUANTOS_TOKEN')\n",
    "\n",
    "data_config = {\n",
    "  \"remote.data.address\": \"tcp://data.quantos.org:8910\",\n",
    "  \"remote.data.username\": phone,\n",
    "  \"timeout\": 3600,\n",
    "  \"remote.data.password\": token\n",
    "}\n",
    "\n",
    "ds = RemoteDataService()\n",
    "ds.init_from_config(data_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 根据资产性质进行大类资产配置"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入收益率数据文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index('date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index = [pd.Timestamp(str(x)) for x in df.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "三个标的年化波动率为(%)：\n",
      "bond      1.235005\n",
      "alpha    17.597373\n",
      "300      25.981319\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print('三个标的年化波动率为(%)：')\n",
    "print(np.std(df[['bond', 'alpha', '300']]) * np.sqrt(242) * 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置权重，并计算每日组合收益率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "annual_std = np.std(df[['bond', 'alpha', '300']]) * np.sqrt(242) * 100\n",
    "weight = np.array(1.0/np.sum(1.0/annual_std)*(1.0/annual_std))\n",
    "weight = np.array([0.6, 0.2,0.2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Combined'] = df.multiply(weight, axis = 1).sum(axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算每个组合累积收益率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['cum_bond'] = (1 + df['bond']).cumprod()\n",
    "df['cum_alpha'] =(1 + df['alpha']).cumprod()\n",
    "df['cum_hs300'] = (1 + df['300']).cumprod()\n",
    "df['cum_weighted'] = (1 + df['Combined']).cumprod()\n",
    "# df *= 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xba56198>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6wAAAHbCAYAAADPgxcUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzs3Xd8FNX6x/HPzO6mk4QSQu+wgIBUERBFQa+iIjbEi4WrwrXX67X3AnhRFBX1Yhes/CiCqFdAQFGUpqDA0jsJzUAgbcv8/hhJWJJAEnaTjfm+Xy9ekNnZmbOHZDLPPOc8x7AsCxEREREREZFIY1Z0A0RERERERESKooBVREREREREIpICVhEREREREYlIClhFREREREQkIilgFRERERERkYikgFVEREREREQikrOiG1ASu3dnhnTtneTkOAAyMrJCedgqSX0ZOurL0FJ/hpb6M3TUl6Gl/gwd9WXoqC9DS/0ZOpHalykp1YziXlOGVURERERERCKSAlYRERERERGJSApYRUREREREJCIpYBUREREREZGIpIBVREREREREIpICVhEREREREYlIClhFREREREQkIilgFRERERERkYikgFVEREREREQikgJWERERERERiUgKWEVERERERCQiKWAVERERERGRiKSAVURERERERCKSAlYRERERERGJSM6KboCIiIiIiIgEu+yyC0lL25n/tcPhoHr1GvTq1Zsbb7yNatWqhfX8M2dO59lnn2DGjFkkJyeH9VzHooBVREREREQkAvXp05fBg68CwOvNY9u2rbz55uvs3LmTF154uYJbVz4UsIqIiIiIiESgGjVq0K5d+/yvO3XqgtPp5JlnHictbSd16tStwNaVDwWsIiIiEnEsCwyjolshIhJ5EhISgr7euXMH48aN5ZdflpKTk0OXLl255ZY7adiwEQBvvfUGP/zwPYMHD+Hdd8ezc+dOmjVrwR133EP79ifnH+fLL2fw/vtvk56eTufOXejS5ZRy/VzFUdElERERiSj79sEZZ8SRnm7g81V0a0REKo5lgc/nw+fzkZuby4YN63j//bc59dSe1KlTl1270hk27Fq2bdvCPffcx4MPPsrOnTu4+eYb2LNnd/5xtm7dwltvvcHNN9/CmDEvkZubwyOP3I/vz4vsnDmzeOaZx+nWrTsjRoymXr36vPHGKxX1sYMowyoiIiIR5dtvnaxe7aBr13g6dAjw8svZPPxwDG++mU1cXEW3TkSk/EyZ8hlTpnwWtC0pKYlHHnkSgE8++ZDc3FzGjBmXXxipU6euDBp0ER99NIHbbrsLgKysQ7z44qv07GlnTTMzs7j//ntYt24trVu3YcKEd+jevSd3330fAN279yA9PY0FC74rr49aLAWsIiIiElHmzHFy6aVeGjUKkJAAffrEk5NjsHKlSdeugYpunohUMtVP745z9aoKO7+vdRv+mP9Tmd571lln8/e/X20fx+cjLW0nH3zwLjfffANvvPEuv/66jM6duwRV8U1OTqZLl2788svS/G0Oh4PWrdvmf52SkgpATk42OTk5rF27httvvyfo3H369FXAKiIiInK0pUsdvP12Nm3a2MHpWWf5GDkymt9/dyhgFZFSK2uwGAmSk5ODAs127Tpw8smduOyyC/nkk4lkZh6gZctWhd5Xo0YNNm7ckP91VFQUplkwG9Q07SIBgUCAgwczsSyLpKTko45RM9Qfp0w0h1VEREQixqFDsGOHQYsWBYHpSScF6N3bx8qVum0REUlJqU21aols27aNxMRE9u3bW2ifffv2kpSUVKLjVatWDcMwyMjYF7R9//79IWnvidKVX0RERCKGx2PSvHkAlyt4e5s2AVatqrjblh07DGbO1MA0Eal4O3fuICPjDxo0aECHDh1ZunQJGRkZ+a9nZGSwePGioArAxxIdHcNJJ7Vn/vy5QdsXLlwQymaXma68IiIiUqGysuC116Lw+2HWLCedOvkL7dO4cYCtW8s/YB05MorFix0sX+7AsqBhwyzat9ewZBEpH/v27eO331bkf713727eeedNoqKiufjiy4mLi2PmzBncddfNDB16A5Zl8d57b+FyuRg06MoSn+f664dzzz238+yzT9C37zksWbKI+fO/DcdHKjUFrCIiIlKhFi1yMGpUNHfckcu//pVLr16FA9a6dS127TLweimUfQ2Xb75xMG2ai4ceyuXMM7N5++0oXnstinHjcsqnASJS5c2dO5u5c2cDYBgGCQnV6NDhZO6//2GaNm0GwKuvjue118by9NOP4XA46NSpC088MYLatVNLfJ5u3U7lmWeeY/z415g162tat27LzTffwQsvjArL5yoNw7Ksim7Dce3enRnSRiYn2zXxMzKyQnnYKkl9GTrqy9BSf4aW+jN01JfB/H544w0X27aZPPts7jH37dw5nilTsmjcuOC2IFT9uWGDwbffOhk61IvDYa99eN55cdx6ax4XXOD78xxwyikJzJ17iHr1Iv/+qbT0vRk66svQUn+GTqT2ZUpKNaO41zSHVURERCrM009H8/jjMbRrVzirerSGDcM3LPiaa2J55x0XF10UyxVXxNKuXTw+H5x3ni9/n+RkOP98LzNmaICaiEh50RVXREREKkQgAJMn27ciJZkX2qCBxdatxT6EL7OMDNi508TjOcikSU6Sky3atw9Qr56FcdTpzjzTz8cfuxg+3BvydoiISGEKWEVERKTcZWXBqFHRJCdb/PRTJjExx39PixYB1qxxAL7j7lsamzaZNG4cwOmEwYOPfezevX3cfnsMgQCYGqcmIhJ2utSKiIhISGRm2uuoHmndOoPco6ambt5scPrp8aSnG3z6aXaJglWAdu38rFgR+luXzZvtgLUkqle3/z76c4qISHgoYBUREZGQuPHGWF54ISr/a78fLrssjjlzCgZ0HTwIb74ZxXnn+Xj99RxSU0tevKh9+wC//WZyovUi337bxY03xvDYY9GAHbA2aVLygyYlWRw4EPqhySIiUpiGBIuIiMgJ83hM5sxxkJlZsG3uXAc7dphs3mwHd5YFgwfH8vPPTubNK32KMjXVIioKfv3VpGPHsq+FOmJENAMGeJkyxcn69SZr15rcdFNeid+flGSxf79B/fp/vUrBIiKRRgGriIiIlNqCBQ7WrTO59lq7+NCUKU7+/ncv//d/rvy1UidOdNG6tZ/Nm+0BXQsXOti712TRooNBS9OUlGHAo4/mcsstMXzzTRZxcaVvd1YW5ObCqFG53HprHqtWOfB6oU+fks+LrVYNZVhFRMqJhgSLiIhIqRw4AP/4RyzPPBPNjh0GlgWff+5kyBAvHTv6eeGFKPbsMZg/38ltt+WxaZN9u/Hpp06uvjqvTMHqYZdd5qNDh0D+cN7SWr/epGlTu8BS06YW/fv7uOgiH0lJJT+GPSS4TKcXEZFSUsAqIiIipTJvnpNOnfzcfnsuAwbE8emnTnJzDTp1CjB+fA7Tpjm59tpY/vY3H+3bB1i1ymTkyCimT3dx0UUnXuF31KgcZs50sn596bOca9aYtGpV9uHEAImJkTeH9eDBim6BiEh4KGAVERGRUpk920G/fj5uvdXLww/nct99MVxwgQ/DgJQUi88+yyYjA669No8mTQK0bh3A74dPP80KybzPxERo2jTArl2lv42ZNs1Jr17+Ezy/PYc1Uqxda9KuXQL791d0S0REQk8Bq4iIiJTKwoUFQd/AgT7mzz/E3XcXrF1Tv77F999nccopAWJi4OOPs3nooTw6dz6xzOaRkpIo9bDcVatMlixxcMUV3hM8d2RlWF9/3UV2tj1H+FjySl5XSkQi0NChf+e007qyatXvQdtnzpzOaad1JSMjo8THuuyyC3nhhVGhbmJYKGAVERGREtu3D3btMnC7C4LPRo2sQnNAjTDHc9WqFZ3l9Pspdtmbl1+OYvhwL7GxJ3buxMTIKbq0a5fB55+7GDbMy4QJUUFVmg8LBGDkyCg6dowvtCauiFQO69evY/36tTRp0ozp06dWdHPKlQJWERERKbH//c9Jx45+HMdO5oVdUpJFZmbhoPGWW2KYMqXwIghbthjMnu1k6NATTzPac1hP+DAh8fbbLgYO9HLbbXlkZMD48VFBr+flwY03xjBvnpOGDS1mzdICESKV0ZdfzqBFi5ZceOFFzJr1P7Kzsyu6SeVGAauIiIgck2XZy9hcckkso0dHc9ttFT+2tLjCR7/9ZvLjj4Wj6UmTXFx2mbdU1YCLc3gd1oqWlQXvv+/ixhvzSE21+Ne/8vjmm+CA9MMPXaSnG0yenMXgwV6+/FIBq0hl4/f7+eabr+jevSd9+55DTk42c+Z8U+z+t946nNGjRzJu3Euce24fLrigHy+8MIrco4ZY5ObmMnr0SM477yz+9rczePrpx8jKKlgj+9Chg7z44mguvfQC+vQ5lQsu6MfTTz9GZlFDOcJIVy0REREpkmXBvHkOnn8+il27TO66K5dLL/XhclV0y+xhuXv3BgeNXi9s2GASXcSKN1u32lWMQyE52SIjIzQB69SpTvr185GQUPr3fvKJi27d/DRvbo+B7tHDT1qaQY8e8XTq5GfgQC9vvBHFiy/mEBsL3br5efPNCPjPE5FSWbToJ/bu3cM555xLrVopdOnSjRkzpnL++QOKfc+sWV9Rv35DHnrocXbtSuf1118hMzOTMWNeyN/nyy9ncOaZfXnyyRFs2LCOcePGkpSUzG233QXAE088zIYN67nxxlupWbMWK1f+xvjxrwXtUx4UsIqIiEgQy7IrAT//fDSZmXDnnXkMHOjDGUF3DYmJFps2BQeNmzaZpKZarF9vkpUFcXEFr+3cadK//4kvqQNQs6bFvn2hCVgffDCa7Gy48sqSt23dOoPx46P4+msn48cXDAuMioJFiw6xZo3Jzz87GD48lpgYi27d7AJZrVsH2LHDZP9+QpJpFpHy8dVXX9CqlZtmzVoAcO655/PUU4+yadNGmjRpWuR7/H4/zz//MsnJyX9uMRgz5jm2b7+H+vXrA9CoUWMef/xZDMOgW7fuLF26mGXLFgN29tXr9fKvfz3Aqaf2BKBz56789ttyfvllaXg/8FEi6FePiIiIRIL58x38618xPPFELhdc4Kvw+apFKapSr8djctJJAfbsMVi+3MGppxYsX5OWZlCnzokvqQNQo0ZoAtYDB2DPHpMpU1wMHuw7ZqGqJUtMvv7aSWwsvPWWix49/AwZ4qVbt+CssdMJbdsGaNs2wIQJLho0CGCaBa917Ojnp58cnHPOiS3tI1KZnH56HKtXV9yFrHVrP/PnZ5XpvVlZh/j++3lcddXQ/KG4Xbp0IyYmhunTpxab6eza9ZQjglXo3fsMxox5jqVLl+QHrG3btsM44sJTt249NmzYAEB0dDRjxrwKwM6dO9i6dQsbNqxj06aNREUFz5UPtxIFrG632wHcAQwDGgGbgXHAqx6Pp8irv9vtbge8BHQH9gGvAs8Vt7+IiIhEhjlznFx1lZeLLgpNRjIcEhMtpk1z8f77Aa65xr61WLLEQceOfvbtM1i82AxbwFq9uh2wWtaJVUPesMGkefMAGRkG118fw0sv5VCtWtH7PvBADB07+snLg7FjczjrrOMHnDfckFdoqPH55/uYNs2lgFWqlLIGi5FgzpxZ5OTk8Oabr/Pmm68Hvfb1119w4423Fvm+mjVrBX2dnFwdgP1HLNgcExMTtI9hmFhWwUOw77+fx9ixL7Bjx3aSk5Nxu9sSHR1DIFC+14+SZlgfAe4HngIWAr2BF4E44Lmjd3a73bWBWcBvwCCgM/AM4AdGn3CrRUREJGzmz3cwalRORTfjmKpVs4PPBx80GDTI/vfPPzu4775cdu0y/iwuZK+3mpMDBw8a1KwZmoA1Lg5M0y56FB9f9uOsX2/Srp2fl1/O4aGHornggjj+97+sQnNwx46NYtcugxEjckuV7R48uPADhwEDfIwYEY3fT0RmzkUk2FdffUGbNidx0023BW3fuHEDY8Y8x3ffzSvyfUcGpgB//LEPgBo1apbovFu3buGRR+7n3HMv4JVXbqB27VQAHnnkfjZt2lDaj3FCjlsl2O12m8DdwH88Hs8zHo9ntsfjeRx4A/hXMW+7BTsYHuDxeGZ6PJ6ngRHAA263W7P9RUREItSePQZbtpghK1AULofnp9apAwsX2sHj77+bdO7sp2nTAFu2FNzipKUZpKZa+UNjQyEUw4LXrLEzrDEx8PzzuTRsaPHOO8G3SRs3Grz+uotJk7JCEmDWrm2RkmKxZo0WihCJdGlpafz66zLOPbc/nTt3DfozcOCl1KxZkxkzil6TddmyxeTkFDx4/O67uZimSdeuXUt07jVrVuP1ernqqmvzg9Xs7GyWL/+l2LWuw6UkV6sk4H1g8lHbPUCK2+0u6tliP2C2x+M5Mv8+FagBdCtLQ0VERCS8/H6YNs1Jjx7+iKgEfCxt2gT44otDtG1rsWOHwbffOunSxU9CAtSta5GWVhBM/vGHQY0aob3DCkXA+v33dl8f9o9/5DF1qovBg2PZs8c+9pQpLi66yEeLFqFrf6dOfpYtU8AqEum++moGhmFwxhl9C73mcDg466xzWLz4Z9LSdhZ6ff/+/dx33938+OP3fPbZx7zxxqtcfPFl1K5du0TnbtnSjcPh4LXXXmbJkkXMnv0Nt9/+T/bt20tubvmOwDnukGCPx/MHUNTg6AuBbR6P51ARr7UC5h61bcMRr/1QijaSnBx3/J1Kwek0w3Lcqkh9GTrqy9BSf4aW+jN0Iq0vc3Lg1lsNXnrJYt48eOABB2PHBiKmfcdy9tkwe7ZBejr8+ms0l19u92tCgr3kTUJCXH5l4+rVzZB+ptRUk9zcGI6oaVIqBw7AqlUm55wTTWysva1PH7jySgdOp8Vdd8UzeXKABQtM7rsvtP8fvXoZfP+9g5tvDi6cEmnfm5WZ+jK0qmp/zp79NZ06daJFi0ZFvn7JJQP57LOP+PLL6QAkJcWSnByH0+mgV69eNGnSlMcee5CEhAT+8Y/r+Oc/b8zvS9M0iI52BfVpdLQT0zRITo4jObkNzz47gtdeG8e9995BrVq16N37dC677DKeeeZp8vIOljj4PVGGVYacrtvtvgEYD9zu8XheLuL1XOAxj8cz8ohthyeT3OHxeMaW5nxerz+kj0UP/0f5fJE93KkyUF+GjvoytNSfoaX+DJ1I68tZs6B/fwf//ncAl8tey/Spp6wTKiZUnsaONVm/Hj7+GJYtC1Cvnr29USOTH34I0KABTJsG771nMnly6Pr8mmsMzj0X/v73st2iPPCAwbZt8MEHwe9v29ZkyBCLRYsMEhIsvvjCYPPmAImJoWi1bf9+6NHD5JFHLK68suD8kfa9WZmpL0NL/Vk6Q4deS1xcHOPGvVbotUjtS5fLUexvnVIva+N2u4cArwOTgFeK2c0AiruCl7p3MjJCW9nr8JOEUB+3KlJfho76MrTUn6Gl/gydSOrL11938eijMVx7bR5vvumkXj2LO+/MY//+yK0OfLTU1HhGjjRo0SJAXFwWGRmHt8exZk0OCQkB0tOdxMQ4ycgI3TC2atWi2bYtQEaGt9TvPXAA/vvfBBYuPERGRvDt0v33O+na1c9111kMHhxL06YGgUDB5wqVN94wGTQoloMH8zjzTD+1alkR9b1Z2akvQ0v9WTo+nx+fz19kf0VqX6akFFMinZLNYc3ndrvvAj4AZgBDjrFEzX7g6LNWO+I1ERERqUC//27y6qtR3HtvLrfdlsftt+fx228O2ratXMud1KtnsWePwfnnBweOdesG2LnTvs3JzLSzlaF0InNYZ8500quXj5SUwm0aMMBHvXoWsbEwcWI248dnn2hTi9S+fYDHHsvllltimTat1PkLEZFyU+IrlNvtfhZ4ALsA0/Uej+dYj1/XAs2O2nb4a0+pWigiIiIh9+mnLgYP9nLvvXkADBvmJSfHoGnTyrVcep069t/nnx98W5KaWlB46dCh8ASsK1eWrXDRlCkurrzy+JnZhARC3u4jDR7sY9u2XHbvriTjv0WkRF555b8V3YSQKtGV1u1234EdrL4EDD1OsAowG+h3VAXhgcBe4JeyNFRERERC4/33XUya5GTIkIKgyeWCu+/Oq3RrczZtCq+8EqBx4+DA7shKwZmZUK340WZlUrNm2TKse/YYLF7s4OyzI2PYdZ06wRWVRUQizXEzrG63uy4wClgBfAx0d7vdR+6yGGgMpHg8noV/bhsH3AbMdLvd/wFOxg547/d4PHmha76IiIiUVCAATz0VzVdfOZk+PYsmTSpXNrUoTicMH24VmuNZt26ABQvs25yDBw1q1w5tgZGyDgmeMcNJv34+4otaFLAC1KkTIC1NQ4JFJHKV5Ar1NyAaaA/8WMTrKcAjwLXYxZbweDw73W53P+yM7CQgHXjI4/GMDkWjRUREpHS8XvjnP2PYu9fgiy8OUaNGRbcovFJTLXbutAPKgwcNqlWr2DmsOTng8Zh8+KGLu+6KnGf3Rw6dFhGJRCVZh/Vd4N3j7Db0zz9Hvm8x0KtszRIREZFQWrjQwYYNJl9/nUV0dEW3JvyOHhIc6oxmzZoWe/cWH+j98Qd88omLFSsc/PabyaZNJk2bBuja1c9ZZ0XGcGCwA9b0dAWsIhK5NAZERESkCvB4TLp181eJYBXsIcFpaXapjoMHQ190qXp1iz/+MLAsilyzduzYaJYvN7nkEh/Dh+fhdgeIiQlpE0KiVi2LAwcMcnMruiUiIkVTwCoiIvIXtHGjweTJ9vBT07QDVrc7shaKD6ekJHsY9MGD4RkSHBUFMTF29jYxsWD7hg0GOTkG33zjYOzYHDp3juw+N01ITrbIyDBITa3o1oiIFFa2euwiIiIS0b7+2smoUdF89JELgDVrqlbAahgFFXAPHrSXiAm1GjUKDwu+//4YLr44jqwsg44dK0d/JyVZ7N+vYcEiEpkUsIqIiPwFrVtn0rGjnzlz7HVqNmwwad68cgRQoVK3boAtW0y2bzepVy/0n/3opW1+/91k1SqT++7LZdKkLMxKcpeVlAT791d0K0TkaLfeOpx///vOIl9bunQxp53WldWrV5boWCtX/sattw7nlFO60rfvWbz11hv4fMHz6TdsWMcdd9zE2Wf35pJLzmfChHexrODRKb/+uoxhw66lb99eDB58MTNmTCvbhyuFSnIpFRERqXwsC266KYYXXogq93OvXm1yww15LFjgwOuFvXsNUlIq/zI2pVGnjsUXXzhp1SoQNGw3VGrUsNixw+TwPd9rr0Vxww1errvOS7Nmlaevk5Lseawi8te0ffs27rrrFuLi4hgz5iWGDx/OJ598yCuvvJi/zx9/7OPOO28BDJ58cgQDBlzM+PGv8dFHE/L32bRpI/fccxv16tXjmWf+Q69evRk58im+/XZWWNuvOawiIiJhsGyZyWOPRbNwoZMBA7zlem6/HzweB2eemUP16vDddw6Sky1crnJtRoWrU8fiww9dXH11eJaRqV7d4u67Y0hPz6V/fx9ff+3kqacOhuVc4ZSUZM9hFZG/pmnT/o+oqGieemoUqanVAdi+PY0JE97l1lvvxOl0MnnyZ/j9PkaNeoGYmBh69DgNr9fLhAnvMmjQlTidTiZMeJc6derx+OPPYhgGp57ak4yMP3j33Tc588x+YWu/MqwiIiKlkJ5uV4Y9lo8+cnL11bFccYWPMWNyyr067KxZDpo1C5CSYnHaaT4mTXJRu3blyfiFSt26AfbvNzjtNH9Yjl+jhj33c80ak08+cXHJJV6qVw/LqcIqMfH4c1h//VW3jCKRyu/3M27cS1xyyfmceWYPrrrqcqZOnZT/+uDBV/HCC68QfUSZeJfLhd/vJxCwp0ssXvwTXbqcQswRv7B69+7DgQP7WbXq9z/3+ZmePU/DOKI0eu/efVi/fh179uwO2+fT1UdERKSEPvnESceO8UycWHyqcu5cB08/Hc3UqVkMGeIlPt4iO7scGwlMmuTi6qvtrO7pp/uZOdNJamrVC1jr1LFwOi1OOSU8AWvNmnafbtpksmGDycknh+c84ZacXHhI8MqVJh9+6CQ3F7ZsMTjnnDhWrzbJyamgRopUUZZl4fP5Cv05HGgCfPTRB8yY8TnDht3E88+/TPfuPRg9eiQ//fQjADVq1KRly1YAZGUdYu7cb/n44wn0738hUVH2lJWtW7dQv36DoHPXq1c//7Xs7Gz27NlNgwYNi9xny5bN4ekANCRYRESkRA4cgCeeiObpp3MZOzaKwYO9OIv4Lfr22y4efTSXFi3sYCYmxiInp3yHW65ebXLnnfYw2J49/WRlGVUyw+p2B/jb33xhqRAMdoYV7IDV7w9Qt27l7OPERIKqHXu99txrgG+/dXLBBT4sy+D00+N58MHc/O8tEQm/H39cQJ8+px5zn19/XUbr1m0477wLAOjcuSvR0TFB2VKwM7E9evTE7/dTt259rr32+vzXDh06RFxcfND+cXFx+a8dOnQoaFvBPvZ7srIOleHTlYwCVhERkRKYN89Jhw4Brr/ey9SpTj7/3MkllwRXWAwE4KefnDz3XG7+tpgYwpaV2rzZYPToaMaMyckPnn0+2LzZpFkz++l7zZoW7dr5SU2tWhWCAdq0CfDOO+FLCdaoYdGwYYAdOwwMw6RevcoZsCYlWWzcaAeslgX33RdNo0YW48dnM2hQLA8+GE1iop2FVYZVKqPTP+7O6n2rKuz8rWu0Yf7gn8r03g4dOnL77XcX2r569SpGjx4BQLt2HRg//jVuu+2f9O7dh169ejN8+M2F3hMIBHjttTfIzs7i1VfHMXz4UN5+ewK1aqVgWRZGMc9WTdMA7OubcdROh6sIG0b4Bu4qYBURESmB+fMdnHGGHaDeeWceTz4ZzcCBvqClSzwek6Qkizp1CgKX2FjIzg5PhvX556OZMcNJy5ZR3H67nfXassXOpsbGFuw3aJCXBg0qZzAVyTp08DNsWB5vvRXFxo3hWTqnPCQnFxRdeu45g19/dTBtWhYxMfD++9lccUUct9ySy5w5DjZv1mwyqXzKGixGgoSEBFq3bltoe1ZWVv6/r7pqKDExMcyYMY2xY59n7Njn6dQZLlhfAAAgAElEQVSpC4899jS1aqXk7+dyuejZsycAzZq14dJLL2DGjGkMHXoDCQkJQcc88hzx8QlHZFKD98nOzspvZ7joqiMiIlIC8+c76d3bnqN41ll+DAN+/NERtM/vvxeexxgba4UlK7V+vcE33ziYPj2LceNc/N//2c+gf/7ZQYsWwYHTjTd6ueACX1GHkRPQqJHFjTd68//Pq1Wr4AaVUY0aFtu3m3z8scH48QYTJ2bnD6NOToavv85iwAAfgwf7FLCKRCCHw8EVVwzhgw8+ZdKkGdxxx79Yu3YNI0Y8BcCiRT+xZMmioPdUr16dlJQUdu/eBUCDBo3YsWN70D6Hv27UqDFxcXHUrFmr2H0aNmwUls8GClhFRESOa+tWg8xMaNvWDgQNA7p29bN6tcm2bQaHHzivWWPSqlVwsBiuIcGjR0czfLiXdu0CfPBBNg89FM2YMVE8+WR0frZVykeHDpUzs3pY9+5+0tMN7r7bYMqUQNAIgSM1aRJg0yYtfyMSae666xZefvkFAOrUqcPllw/m9NP7kJ6eBsCMGVN57rln8PkKHlxu3bqFtLSdNGvWAoAuXbqxePHPZB9RJfC77+aSlJREy5ZuALp27caCBfPx+/1B+zRr1pwaNWqG7fMpYBURETnK7t0Gh46oHzFvnpPTTvMHDf9t3Nhi1SqTCy+M44EHYrAse0iw2310wBr6okubNxvMm+dg2DA7MO3WLcC113qZONHFlCnZ9OxZOavVVlY33pjHV1+Fr+BIuLlcMHp0Dp99FqB9++L3q13bIjfXYPduBa0ikeTkkzsxefJnfPjh+yxdupgpUybx7bezOOOMMwG48spr2LUrnUcffYAFCxYwbdo07r77Vho0aMj55w8A4OKLL8fn83LvvXewYMF3vPfeW0yY8C5DhgzF9eci3oMHX82WLZt55JH7+fHHBbz88hi+/vpLhg4dFtbPp4BVRETkKBdcEEfTptV4+OFo9u2D0aOjGDLEG7RPkyYBPvzQRatWAZYvN+nYMZ7vv3cWEbCGPsO6fLmDrl39QdVv7703j+++O1To/BJ+UVHQuXPl7vd+/fz06nXsfUzTzsYuXOg49o4iUq6uvvofXHXVUKZM+T/uuec2PvjgHQYN+jv/+IcdSLZu3YYXX3yN/fszuOuuO/jPf0bRqVMXXn31zfxKwrVq1eLFF8fh9/t45JH7+PzzKQwbdhN///vV+edp2bIVo0aNYceO7Tz00L0sWPAdDz74GGed1S+sn8+wjrf6eQTYvTszpI1MTrbLMWdkZB1nTzke9WXoqC9DS/0ZWlWtP08/PY64OFi61EGfPj7atAnwxBO5QfusWGHSt288//1vNgMH+li71mTxYpNBg3w4jrifz8yEDh0S2LjxIBCavhw7Noq9e41CbaqKqtr3ZjiVpC9ffdXF1q0mI0fqe+9Y9H0ZWurP0InUvkxJqVbs0A1lWEVERI5gWbBli8mnn2Zxzjk+MjIMHnqo8M15kyYB4uIszjzTnhPUsmWAK68MDlYhPBnWDRsMmjev3Bk9qZx69fKzYIEyrCJSfrSsjYiIyBHS0w3i4iwSE2HkyByio+0hn0erVg1++eUgSUnHPt6fU3/wegv+faI2bDC57DJV/ZXy1759gJ07TXbvNkhJifxReiJS+SnDKiIicoQNG0yaNbOzlw0aWMe8KU9OLtkxQ5ll3bzZYPVqR6FqxCLlweGAU0/188MPyrKKSPlQwCoiInKEZctM2rULbTAYG2uRnX3syqr798O0accf+PTii1EMG5ZH7drKbknF6NnTp2HBIlJuFLCKiIgc4aefHJx6amiXhYmJgSOWtivSvffGMGxY7HGPtXy5g7PO0nBgqTinnaYMq4iUHwWsIiIifwoE4KefnGEIWI+9FmteHsyaZWdXDx4s/jh5ebBunUmbNhoOLBXnpJPseax//FHRLRGRqkABq4iIyJ/WrjVJTLSoUye0w22LmsN64AD88ov9a/jnn+05qa1a+dm6tfhfzb//btKgQYC4uJA2T6RUHA5o3jzA+vW6jRSR8NOVRkRE5E8LF4Z+ODDArl0GAwbE4TtiJO/jj0dzyy0xWBa8+66Lfv18NGpksXlzcCZ2/374+GMn994bzT/+Ect113lD3j6R0mrWTAGriJQPXWlERET+FK6Addy4HJo0CTB/vj3vLzcXJk1ykZZm8vDD0WzdanLzzXk0ahRgy5bgX81XXRXL9OkuWrYM8Pbb2Vx/vQJWqXhNmwbYuFG3kSISflqHVURE5E8//eTgnntyQ37c00/3M2SIl6lTXVxyCaxZAw0bBmjY0OLLL518+WUWcXH2MMvVqwuCgN9+M9m61WTx4kM49RtbIkizZgG++UbflCISfrrSiIiIANu2GeTkQPPm4Vku5txzfbz4YhSBgMWqVQZut5+77sojPt4iNdU+58kn+/nkE1f+e2bMcHLppV4FqxJxmjQJsHmzMqwiEn660oiIiABz5zrp0cOPcezlUsusUSOLWrUsFi+GlSuhVasA7dsHaNasIEBu1y7A2rVmfoGm2bOd9O0b+iHKIieqQQOL7dvD9MMiInIEBawiIlLlWRaMH+/iqqvCOz+0Xz8fM2caf2ZYCy9NExcHLVsGWLLEwYED9hI2XbsqYJXIU7u2RUaGQW7oR9CLiARRwCoiIlXesmUmubkGffqENzg85xw/M2ca+RnWogwa5OX9911s3GjSpEmAqKiwNkmkTBwOO2jduVNZVhEJLwWsIiJS5U2d6mLgQG/YhgMf1rWrny1bYONGaNGi6ID1iiu8zJnj5KefHDRtWvQ+IpGgXr0AO3boVlJEwktXGRERqfKWLHFw+unhH3rrdMLZZ1s0bgzR0UXvk5QEAwZ4efHFKJo0UcAqkat+fc1jFZHwU8AqIiJVls9nr72almZQt275BIeXXmrRvfuxKxFfd52XPXtMmjYNT8VikVCoW9di507dSopIeOkqIyIiVda4cVFcfnks6ekGdeqUT3A4cCC8/faxz3XSSQEuuMBLhw4quCSRKyUlwO7dyrCKSHhpZTcREamS1q83GDfORUwMGAbExlZ0i4K9/XZORTdB5JhSUixWrFDAKiLhpQyriIhUOYEA3HVXDPfck8dJJ/mpU0dzRUVKKyXFUoZVRMJOGVYREalyfv7ZQUaGwXXXeVm92sTl0vNbkdJKSbHYs0cBq4iElwJWERGpcubMcXDuuT4cDmjePIDPp5tukdJShlVEyoMCVhERqXLmz3fyyCO5AFxzjZesLF8Ft0ik8qlZ0+KPPwx8PnvJJhGRcNAYKBERqVIsC1avNmnf3q7Am5AAtWtr+RiR0nI6oXp1DQsWkfBSwCoiIlVKerpBXJxFYmJFt0Sk8uva1c+8eY5j7rNpk8EPPxx7HxGR4ihgFRGRKmXDBpNmzVQVWCQULrrIx+efu4p9ff9+OOWUBK65JsLWjRKRSkMBq4iIVCnr15s0a6YhwCKh0KuXn2XLir+dfO21KPr08eFy6WdORMpGAauIiFQpW7YYNG6sDKtIKKSmWuTmGuzbF7zdsuC556KYNMnFc8/lkJ1tkJlZMW0UkcpNAauIiPxlrVxp8vrrwcMVMzIMqldXtkckFAwDWrUKsGZNwRzV3Fy45ZYY5sxxMnNmFk2aWDRuHGDTJt12ikjp6cohIiJ/WV995eQ//4kmN7dgW2amQVKSAlaRUGnZMsDatQW3lB9/7GLHDoPJk7PyK3ArYBWRstKVQ0REKlRmJkEBZSgtXerA64U5cwoWidy/XwGrSCi1bBlgzZqCW8oNG0z69vUTF1ewT8eOAX76SZWCRaT0FLCKiEiFat68Gk88ER3y4/r9sHSpyT//mce0acEBa2KiAlaRUGnVyh+UYd261aBRo+B54uef72PGDCeBAIwcGaX5rCJSYgpYRUSkwmzcaAB2cBlq48e7cLsDDB/uZdYsJ1lZ9vYDByApKfTnE6mqjh4SvG2bScOGwQGr2x0gPt5iyRKTV1+NYt063YKKSMk4j7+LiIhI6K1da9KrVzxgVxQNhW3bDPbtM8jKMhg7NooZM7JISbHo1MnPrFlOBgzwaUiwSIg1bmyxZ4/BoUMQH29nWBs2LPwzduGFPl5/PYrcXIPdu40KaKmIVEalDljdbvcAYKLH46l2nP16As8BJwO7gfeAZz0ej7csDRURkb+W//wnigcfzKVOnQD/+19onp8+9FA0X37pIjU1wCuv5OSvtzpwoI8pU+yA9cABg2rVFLCKhIrDAU2aBP5c4zhAVpZBrVqFf8bOP99Hv372xNZdu0wgDEMrROQvp1TjMf4MQicAx3ws5na7mwP/Aw4ClwJjgPuAEWVrpoiIVCZZWccupPT77yYLFji44YY8Gja02Ls3NNkW48/D3HxzHmedVXAz3L+/l/nznezbB14vQcVgROTE2UvbmKxcaeJ2B/J/Fo/Url2ARo3sQHbXLmVYRaRkShSwut3uaLfb/W/gW8BXgrdcBjiASz0ez/88Hs/LwIvAcLfbrSuUiMhfUFqawQsvRDFlipMmTarx3HNRxe47alQUt92WR0IC1KxpDycMBY/Hwbx5h7jppuDBPNWrQ48efj791EVSklXkzbSIlN3heazLlzs4+eSiM6eGAddfn8cpp/g0JFhESqykGdbzgAeAe4GXS7B/NOAFso/YthdI+PM1ERH5i/nmGyeff+5k+nR7eK+zmFG+y5aZ/Pqrg2uvtYPKWrUs9uw58QIsOTmwfbtB8+aBIl+/6CIv770XRWLiCZ9KRI7SqlUAj8fk558dnHxy0T+DADfe6OWGG7zKsIpIiZV00tAioKnH48lwu92Pl2D/icBdwAi32z0KaA7cCUzxeDw5pW1kcnJox245nWZYjlsVqS9DR30ZWurP0CpJf27ebHDNNXD33SZjxwbYuNFFcnLwrxnLgpEjTR580KJuXftY1arZlXsTEuKKDXJLYvlyaNoUatcuuo1XXAF33WXQr1/Ffl/oezO01J+hcyJ92a0bDB/uwO22eP55k+RkV7H7NmsG+/aZQecJBOCrr6BTJ6hbt/RtjzT6vgwt9WfoVMa+LNGtgcfj2V6ag3o8nvVut/tfwH+Bf/+5eSnwj9I1T0REKotVqwzOOsvOrCQlwf79wa/n5toB4759cP31BQVZHA5ISYEdO6BRo7Kff+VKgzZtin89MRF+/jlAixZlP4eIFO2kk2DtWj+NGnHcIfe1a0N6evC2CRMMHnnEoFo1WL48gKlVb0TkT2FZ1sbtdt8AjMcOWD8B6gFPAl+43e5+Ho/nGKU4CsvIyApp+w4/UQj1casi9WXoqC9DS/0ZWiXpz99/j6d+/WwyMiwcDid79jjJyCgYVPPww9Fs3mwycWIOBw8GVxBt3TqWH3/MIzGx7FVDly2LolkzyMjIK3afevXsglBZFfhtoe/N0FJ/hs6J9mVRD6qKEhsLaWkJQedZtCiaYcMCjB8fxYoV2TRuXLkreev7MrTUn6ETqX2ZklL8AjThen51PzDT4/H80+PxzPF4PBOA/sBpwJAwnVNERCpIbi7s3l2w9mJiokVmZnCaZfp0J08/nUPt2oVvRDt08LNiheOE2rB6tUnr1sXPnRORyJCYaFfrPvLB0bp1Ji1aBGjdOsCqVUqvikiBcF0RGgILj9zg8XhWYxdeahumc4qISAXZtcugdm0rfxhfYqLFgQMFAeu+fZCZaRSbNWnfPsDy5Sf2K2nNGgetWilgFYl0hgG1a1tBlYIPB6xt2gRYterEHl6JyF9LuALWNUCvIze43e4WQE1gY5jOKSIiFSQtzSA1tSAYPTpgXbnSQdu2/mLnpbVv7+e338p+k3q4QnCzZgpYRSqDlBQrv1Jwbi7s3Gk/0GrTxs/q1cqwikiBkMxhdbvdzYEUj8dzOKv6JPCp2+1+E/gIqAM8DmwC3g/FOUVEJHKkp5ukphYEi9WqQWam/e+cHHj/fdcxl7po0sQiI8MuyFSjRsnPO326kz/+MOjc2U/jxgGiil/6VUQiSO3aAXbvNoEAaWkGKSkWLhe0bRvg1VcVsIpIgVBdER4Bfjz8hcfj+Qy4FOgMzARGAPOB7h6PJzNE5xQRkQiRnl44w5qZabBxo8G558ZhWXDffcXX2zNNaNeudFnW3bsN/v3vaN56y8X118fidiu7KlJZHJlh3b3bDlgBWrYMsGmTSV7xtdNEpIopdYbV4/E8jp0tPXLbUGDoUdsmA5PL3DIREak00tMN6tQpCFijo+0g9P77Y+jf38e99+Ydd6mLw/NYTz+9ZJWCZ8xw0qePnxdfzGHkyGjati17hWERKV+1a1ukpx8OWM38gDUmBho0CLB2rclJJ+khlIiEbw6riIhUIWlpZlCGFSA31+Dbb53cfPPxg1Uo/TzWb75xcu65PqKj4bHHcrn8cl9pmy0iFaRRowBbtti3oXaGtSA4bdMmoHmsIpJPVwMRETkhhw7B7NkOunYNznCOGZPDtGlZJCSU7Djt2wdYsaJkv5bWrjVZtszkzDMVpIpURk2aWGzaZP+879lTMCQY+LNSsG5RRcSmq4GIiJyQl1+OokcPf6E5pEOGeOnRo+TDdFu1CrBtm8nBg8feb+dOg6uvjuWee/JITCxLi0WkojVpEmDTpsJzWAEtbSMiQRSwiohImW3bZvDOO1E880zxBZVKyuWCM87w8cEHrmPuN2mSix49fNxwg/eEzykiFSM11eLgQYODB4sKWP3KsIpIPl0NRESkzCZOdHHJJd5C81fL6u6783j//WOvTTN7toPzz9dQYJHKzDShefMAnTsnMHOmk0aNCkZoNG5ssXu3QXZ2BTZQRCJGSNZhFRGRqsfvh48+cjFxYujuKt3uANu2GQQC9g0twJw5DnJyDPr393HgACxf7qBnT1UEFqnsPv88i+xsg9hYK2iuu8MB8fEWhw7Zr4lI1aYMq4iIlMmcOQ7q1LFCuvREbKy9huvh9Rm3bzcYPDiO556zs65z5zrp3t1PXFzITikiFSQhwV6PtajCbHFxkJVV/m0SkcijgFVERMrkgw9cXHVV6OeRNmpksWWLkX+OFi381KplZ1lmzXLSr5+GA4v81cXFWWRllWA9LBH5y1PAKiIipTJnjoNXXnHx449OBg4MfcDasGGArVtNvF57juztt+exf789THj2bAd9+ypgFfmri4tDc1hFBFDAKiIipTR5sosnn4zh4ou9JV5jtTQaNgywcaPJV185ado0wCmn+MnIMFixwiQpyaJJE81pE/mri41VhlVEbApYRUSkVJYvN7nwQi833pgXluOfeqqf+fMdvPuui6FDvSQnW+zfb7BggYPevVVsSaQq0BxWETlMVYJFRKTEDh2CzZtNZs3KIurYq8+UWe/efoYMcZKYaPHhh9k4nZCZCYsWaTkbkapCc1hF5DBlWEVEpMTmz3dy8sn+sAWrADExMHFiFvPmHSI62l7iIi7OPnfXrsqwilQFsbGawyoiNmVYRUSkxD76yMngwaEvtHS0s88ODkyTky2ys6FxY81fFakK4uLsdVhFRJRhFRGREklPhx9/dDJgQPkPy01MtOja1Y+h+1eRKsGew6ofeBFRwCoiIiX04YcG553nC0tl4ONJTrbo1i1Q/icWkQphz2ENzbFycmD6dA0qFKms9NMrIiLHZVnw7rsGo0aFfzhwUa680ku3bpq/KlJVxMbC3r1lz7D+3/85eemlKLp08WOa8MEHUezcmYnDEcJGiki5UIZVRESOac0ak6lTweuF7t0rJmgcNMhH06aavypSVcTFWcyb52DDhrIFrfPnOzn/fB+tWgXYsMG+3d2+XUOMRSojBawiIiUwfbqTn3+umpfMhx+OZvBgk2uusTSHVETKRXy8xe+/O/jgg7KVJN+2zeCUU/zcdJOXKVOyOe00X37gKiKVi35yRURKYNo0J2++Gca1XCLUwYP2+qf9+8M11yjDKSLlw+Wy/54zx8Hs2aUfx7t9u0mDBgXXrKZNAwpYRSop/eSKiJRAWprBrFlOcnMruiXla8kSB+3b+5kyJUC9ehXdGhGpKvbvt4dzrFrlYMiQWCZOdJX4vZYFO3YY1KtXUKitadMAGzfqtlekMtJProhICaSlmSQmWnz3XdWq2LFjh0GjRsqsikj5+vvfvSxYcIj33stm9uwsRoyI4osvCtcK9fngb3+LC3qYuHevQVycRXx8wbb69S3S0ko2p2HdOoM5cxxYuvSJRARVCRYROQ7LgvR0g7vvzmPmTCf9+v31q9Xm5MBDD0WzZYtJx45+9HxTRMpTTAy0bBmgZUs7SzpxYjZXXhlLUpLFaacVXIO3bzdYtszBihUmXbsG8rfVqxccbdaubZGefuyA9eOPnQQCMGuWk++/d9Khg5/nnsuhWTNFriIVSXcgIiLHYT+th4sv9vLVV078f/F49Y8/4PLLY/niCyfz5jmpU0c3ayJSsU4+OcD48TkMGxbDzp0Fgefmzfat7OLFBaNftm0zadAgeN3m1NQAu3YVf9trWfDKK1E8/ngM8+c7WbjwIG3aBBg9OjrEn0RESksBq4jIcaSlGdSpE6BJE4vatS0WLfprDwu+554Y2rUL8PTT9hi71FQFrCJS8Xr18tOiRYBNmwpuX7dsMalWzWL27IJBg9u3G9SvXzjDumtX8RnW3383yc42GDEihwkTsqlRA84+2xcUHItIxVDAKiJyHDt2GNSta9/89O/vK3Ie1V9FIADff+/kzjvzcLvtDEXduoHjvEtEpHwkJNjVy8EeDfL1105uuCGPHTvseadgVwiuXz/4ulWtGvj9cOhQ0cedMsXJwIFeLr3Ux6mn2sNo6tULsGOHbpVFKpp+CkVEjmPTJpMmTeybn/79fXz5pfMvW4xjzRqT6tUtUlMtmjWzP7OGBItIpEhIsDh0yM56vvhiNF9/7aRZswCDB/uYNct+mLh9uxG0pA2AYUBKStFZ1kAApk51cfHFvqDtderYhZr+qtd7kcpCAauIyHEcGbCedJL992+/Rc7lM5Q3U+++66JPH/umLT4eXnklOz+7LCJS0eLjLQ4eNPB6YdIkJ59+msXFF/s49VQfCxcWZFiPXNLmMLvwUuFr96JFDuLirPzr+2EJCfZ6sBkZ4fksIlIykXPHJSISoY4MWA3DzrLOnFnxw4ItC/r3j+PUU+OPv3MJ7NhhMHWqkwcfLFgfYtAgH6Z+U4hIhDg8JPjbbx00bmzRp4+fqCi7KNOGDSYHDsC2bYUzrGCvxbpuXeEL2pQpTi6+2IdRxHTVunUD7Nypi6BIRdJPoIjIcWzaZNCkScHNT//+BUPPKtJvv5lBlTFP1M8/O+je3U9SUsgOKSISUgkJdob1449dDB7szd8eFQWdOvn54QcHf/xhFFksrn17PytWBN/6+nzw+ef2/NWiNG8e4L//dWlYsEgFUsAqInIMn33mJCPDoHHjgqFiLVoE2Lq1YitHpqcbjBgRzaBBXrKyQnPMRYscdOv2F1+zR0Qqtfh42LrVZN48JxddFBxkdu/uZ8oUF6mpFo4inuW1bx9gxQoHOTl2lnbXLoPJk500bmwVu9bq2LE5LFjgZNky3TKLVBT99ImIFOO111w8+2w0kydnExtbsL1GDYvMTIN16wwCFVBA95NPnJx+ejxud4BHHsklMzM0wfPSpQ66dFFFYBGJXAkJFp995uSss3yFRoN07+7nq6+chSoEH9a+vZ+VK01atkzgpJMS6N49nltvjeXf/84tcn+AxES4+movH33kCuXHCLlPPnFy7bUxFd0MkbCo+DFtIiIRKCsLnn02moULDxVaz880oWZNi549E3jrrWwuvNBXzFHC46OPXLzySjZnn+3HsiA3F7xeuzhIWVkWeDwmbdoowyoikSs+3sLnM2jXrnBQ2q2bn9xcqFev6GxpYiJs2HAQ07QrA3u9dpa1YcNjj/c94wwft98evmBwxQqTFStMzjnHz3vvuejf30ebNiV/ePjrryaPPx5Nbq7B449Hc/AgjB5dEITn5dlDpkUqK2VYRUSKsGePQa1aVqFg9bCi5keVl02bzPw1Ug3Dvgk7cODEsqxbtxpUq2aRnByKFoqIhEdCgv13UVnUhAR72G+DBsUHe4eLyJkmREdz3GAVoHXrAJs2mWRnl6nJQebOdZCXF7xt3Lgo7rknhp494/nsMxdffVXyfNK+fXDddbE891wuffr4+PFHB9OmuUhLM/j5Z5MZM5x07hyPt+gpuiKVgjKsIiJF2LPHICWl+BuZ2rXt146+8Qi37GzYu9cICqQTEy3274eaNct+3N9+c9C6tYYDi0hkS0iwr31FVQEGuOwyb35V91CJjrZrF/z+u0nXriU7tmWRX3U4EICFCx2sWmXy0EPRfPJJNmecYY9mOXgQvvnGyccfZ9OqVYB58xzMnVuy2/OffnIwfryLfv18XHihjx49/ERHW9x7bwy9esWTmhpg/XoTyzJYssTBqadqBI1UTgpYRUSKcDjDWpzUVPumZf/+8i2+tGWLSYMGwQVFkpKsPzOspc/6Ll1q8vDDMaxebfLkk8XP4xIRiQSHA9bi5qn+85/hSSW2bRtg9WrHMQPWFStMmjcP8P33Dh580GTlygC1a1ejZs0AdepYOJ2QnGyxZImDM87wM2mSkwkTXJx+ui8/gG3dOsB//3vsAZCWZS9Ddt11MXi9Bj/8cAgg/3fWo4/mcsstebRrF2D+fAdff+1kzhwFrFJ5KWAVESnC8QLWwxnWEx2KWxqZmdC7dzynnBI8ZzYx0SpzOz7/3EXnzn6mTMkiOjoUrRQRCZ/D16k6dcp3WkbjxgG2bDn2dbZv33hatPCTkWFgWbBoEURHW8ycmUXTpnZ7p0938vHHLubMcfDYY9H06OHnjjsKhuq0aGFnRf1+iqx0/P33Dp55JppffjFJTrZYtepgof3q1bPy5/GecYafhASLW2+N5YEH8opca7Yojz4azfr1JmYPu2kAACAASURBVBMnhmActMgJUsAqIlKE3btNUlKKf5J+/fVeMjONcs2wzp3rpGVLP2PH5gRtt4cEl60daWkGffv6FKyKSKVQo4YdiJ1IkbmyaNQowJw5xd82H15ezOs1+OijbF54IY5ZswyaNw/kB6sAvXr5uO++aG65JYZ33skplPVMSIAGDQKsXGnSvn3w76ClS02GD4/hqady8flg9WpHkUHt0Tp3DuDz2cWZOnYMsG2bwcKFDi6+2Ed6usG2bQbbt5ts3WqyfbvBtm0m33zjxOnU4rMSGRSwikiVN2WKPSzrrbey84sO7dljUK9e8QFrSopFq1YBli8vv9p1s2c7GDrUW2i9wKSksmd609KMcs9UiIiUVd26Frt2ZZb7eRs1sti8ufjr/erVJu3a+Zkzx45cW7e2mD3bKDR0uUYNeOutHLKzKXaIbs+efn74wVEoYH311SjuvDOPSy89PMqmZBXqDQOGDPHy1ltRvPxyDl9+6eT556N45plovF678FT9+gEaNLBo2TLAmWf6ePLJHPr2jWf//oLifiIVRQGriFR5333n4LvvnHz2mYthw+z5T7t3G3TocOxALimp7JnNsvj1VztgLaode/eWNWA1qVtXxZZERI6lSZMAmzcXf51dssQRtNSO2w1jxhhce23h62uPHseeS3raaX6GDYslLc3kscfs2gIbNxr88IODl17KOeZ7i/P/7N13fFvl9fjxz71alry3kzjOcqLshAxCSAKEMkJYpUAZBcqGHxRavoyWllJKS0uBskqBUkqhUAJlb8JIGJlkkJ0ocZw4iR1PWZ6yNe79/XFjO47teEnyOu/Xq69GV1f3PrpY4+ic5zxXXOFj1qwYiooUvv/ehNutsnChnxdfbPt4EycGueoqO8EgvPeelAaLniPL2gghBrySEpUrrvDx1ltNNWYdyTx2pxS3szQN9uwxGnocacKEIJs3d/7tXNclwyqEEB2RlqZTXa1QU9PyvtpaeOopK5dd1jQX9ZRTjPfVhhLmzjjzzACfflrDBx+YufHGKDZvVrn11iiuvdbfuKxPZyUlwQ9/6Off/7bw/fcmHnmkjt///uiN9m65xceyZWY2bjRRVBTZBoNCHE4CViHEgHfwoMKPf+xn3z6FLVtU/u//bOTlqWRlHT3z2NSdN/zy8xXi4nRiY1ved+yxQb77zoTeye9FVVVGqVdXvwAJIcRAoarG3NL9+1t+dV60yMLUqUGOPbbpMyMrCxITdQYN6nzAajYb806/+qqGkSM1zjnHwdSpGrfd1r111G64wcdzz1nxeuHSS/0MG3b0sZ1+epB166pZuDDARx9JUaboOfLXJ4QY8A4eVMjK0vnhDwP85jc2Vq40mk0cvtZpayJZEpyTo5Kd3XoAPXy4jt9vPI+GzpAdUVioSnZVCCE6KCtLZ98+hbFjm7YVFio88YSVf/+7ZclsYaFGRUXXl9mJiYG77vJx550d7+57NNnZOqedFuDkkwOYOxgBDB2qc9ZZAZ5/3sLVV4dnySAh2iMZViHEgObzgcejkJqqc/75flauND7FBw/W2/1AT03VKSpSOp3Z7Chdh7VrVe64w8aNN9o55ZTWG2woirEUwp49nXtLd7uVLpWrCSHEQDRsmNas8VJtLVxxhZ1rrvEzfXrLHxRDEWSG8jgAzz5bx49/3LFmTQ3mzw+waZOJ0lIpCxY9QwJWIcSAVlRkrLdqMhklWNnZQbKzg+2WA4PRnddm0ykp6fiH+P79CsE2+m289pqZ2lojU/rkk1bmzHFwyy12hg7VWbq0hptuavvX7aFD9XbXCDxSebkErEII0VFZWRr79jV9db7zziiyszVuvbV7pbq9nd1uBK2PP27tcoM/IbpDSoKFEAPa4WW0igKLF9eyerWJTZs6sLgdMGKEzp49KmlpR+/6CEY2d8ECB//6V8u19+rr4dZb7TzyiEZlpcLZZ/t5/PE6Zs7UOvTr+pFfpI6moEBh0SILgwZpJCZKwCqEEB2RlaWzerXxhux2w6efmtm8uTqkGdDe6rzzAlx5pZ20NL3fB+ii95GAVQgxoBnzOJuyqbGxcMopQU45pf0AFIylDvbsUZg1q/19P/7YTEmJ2mpGdt8+ldRUjfvuq+fkkwM4HB1+CoARsC5b1rG39E8+MfPUU1Zuu81HQoIErEII0RHG0jYqzz5rweNRmDOn8+/VfdXChQHuuae+UxVFQoSKlAQLIQa0gweVLnVxbDBiRMfnjv773xbS0zXc7pYf+Lm5CpMna5x1Vte+AGVl6ezf3/oXia++MnHnnbbG2ytWmKipUVi50iQlwUII0UFZWRp796rce28US5aYufbagdWEKCtLo6BAAlYReRKwCiEGhLw8hc8+a1nmW1CgditgdTo1duxo/610+3aVPXtUzj8/0EbAqjJyZPvzZtsydGjryy0AbNumsmWL8dw1zQhY580LsGyZSUqChRCig+LjwWqFceOCfPZZLSec0LFKnP5i0CCdgoKmz5knnrDy6qtmiosV8vMlkBXhIwGrEGJAeP11C/fcE9Wio29hocKgQV0PFCdODLJ1a/vzXV980cLll/tJT9dabVqxZ4/K8OFdH8fgwUbzJ9+hqUXHHRfN+vXGW3xBgUphoXFOl0slNhbOPTdAfb00XRJCiM7IytIYO7br79V92eDBGgcPGp8lb75p5uGHrbz9toWJE2O45ZaoHh6d6M86HbA6nc5znE5nVQf2S3U6nf9xOp1up9PpcTqd7zudzpFdG6YQQnTP8uUm9u1T2Lmz+dteZ9cuPdLw4TqlpQoVFUffb/FiM+ef7ycpSW81YC0oUMnM7Po4zGbIyNDJz1coKlLIzVXJzzee64EDxjZNM67D3LkBZswwMgMyh1UIITpu2DANp3NgBqzp6cYPo+vWqfz2tzaeeaaOb74xeicMhMZToud0KmB1Op3HA68AR/2zdDqdFuBz4FjgOuBKYBTwidPptHZppEII0Y733zfjb2VKkdcLGzea+PGPA3z6afPGREc2XeoskwnGj9fYtq31LOuePQrXXReF260wbJhOSoreaklwQUH3Mr1glAXv26fy+efGc9QOHS4/XyUQUCgtVVi+3MTxxwdxOjViYnQpCRZCiE64+WYfF1wwsOauNrBaISlJ5+GHbdxyi4+FCwPY7ToXX+xv/IFUiHDo0F+X0+m0OZ3Ou4ClQEdWG74CGAOc5nK53nK5XO8CPwFigUldHawQQrQlEIBrr7WzbVvLt7W1a02MG6dx/vn+FgFrcbFCWlr3graJE4Ns2dL62+l335l47z0LI0ZomEzGh31rAatRmty9cRiNl9TGObU1Ncb2/HyFlBSjlGvlShNz5gQxmWDRIi/jxg3MTIEQQnTF9OkaWVkD94e+7GyNZctMTJxofKYtXBjgmmt8FBQoLabcCBEqHV3W5gzgbuBOIBm4vZ39zwM+dblc+xo2uFyuDcDgrgxSCCHak5NjBGleb8tgcPlyE3PmBDj++CB5eQrbtqmMH69RUwO6DtHR3Tv3xIka69aZgJa/ujdkXhsaKrVWElxfDxUVCqmp3fu0NzKsCnv2qGRmatTUKFRXQ02NwnHHBXn6aSsJCTQGxrNmDayGIUIIIbpn9GiN5cvNjBplfKY980wdAA6HMT2mu59jQrSmowHrGmCEy+XyOJ3O+zqw/2TgFafT+Tvg/wGJwBfA/zs8iO2ohITQLnJlNqthOe5AJNcydORadk9urhEE+v02EhKaX8/Vq1V+/WuN1FQzd98Nf/ubnUWLdNxuSE+HxMTuXfPZs+GVV9RW/9vt2qUycqTOpEkmEhIc2O1QUqLgcDiwHpogsWcPZGRAUlL3xjF2rMJnnxkdkadOhWDQyr59FiZMgBtvVPjyS5XnntO79Dcmf5+hI9cytOR6ho5cy9Dpr9dyyhQFh0Nn3Dg76mGFRVlZChUVdkaPDs95++v17Al98Vp2qCTY5XLlu1wuTyeOmwpcBSwArgEuB8YDHzmdzo4GyUII0WFbthj/X17ePHtZWwsbNhhBJcA55+gsX27sU1wMaWndP/eECeBy0diht4GmGed+6y2NO+4wfnW22WDoUNi9u2m/ggIYMqT74xg+XGf3boW8PJg8Wae6GjZsUJgyRee88+Cpp3ROOKH75xFCCDEwTZyo43TSLFgFmDFD55tvpPOSCI9wBY8WwAqc0RDoOp3OXIxM7Y+A/3XmYB5PbUgH1/CLQqiPOxDJtQwduZbds3dvFElJcOCAD4/H33g9P/+8nvHjbQQCtXg8EBcHfn80O3Z4yc01kZhowePxdvv8Q4c6WLOmjgkTmuaEbtigkpgYxZAhtWgaeA797DdypJ316/0MGmS0BNi1y0xqqhmPp65bY0hKUlizJoasLI3oaB979qjk58PkyRoeT/eahMjfZ+jItQwtuZ6hI9cydPrrtZw8Gf77XwWPp3np76mnmnjoIRtXXx2e5xuJ66nrcOWVUfziFz6OOab/9nforX+bqamxbd4XrpZe1cDqw7OyLpdrLeBBmi4JIcKgpERh9GgNj8f4hfePf1R47TWF7dtVJk9umqupKEYAt3SpiZIShdTU0HwoTZyotWi8tGSJmZNPbjlPNDtbY/fupn2NDsHdn/eTnm4cY+bMINHROjU1Cps3m5g0SeaqCiGE6D5FgZSUlp9Xc+cGyc1VOXCg72ZZV6828cknFr78UopBe5twBaw5GBnWI5kBmY0thAi5hoC1vFzhk0/M3H+/yptvKhQVqS2CwZtu8vGXv9h49FFryBpETJigsWVL86VtvvzSzMknt2ysPny4xt69TR/qBw+q3V7SBowldgCmTQsSHW1kdHftUqUTsBBCiLCyWGDBggAffWSmpKRvBq1PP23h5JMDrFnT+jJ1oueEK2D9DJjjdDobuwI7nc4TgRhgRZjOKYQYwEpLjYB1/36Vu++2cfnlGnFxOkVFCmlpzQO2E08MsnJlDTfc4OPUUzuyUlf7Jk4MsnVr01uqxwPbt6vMnt0yu5mc3LxTcCiWtGnw+ec1XHmln+hone+/N5GZqXW7C7IQQgjRnrPP9vPSSxYmTYrmz39uLW/Ve+XkKKxda+KRR+pYt85EUAqTepWQBKxOp3OU0+k87rBNjwEVwCdOp/OHTqfzUuBVjGD1s1CcUwghGmgauN0K2dkaS5aYOemkAAsWGMu5FBUpjaWyh7Pb4aab/MyYEZrsY0OGtWEduq+/NnPccUGiolrum5zcfC3WgoKWWeCumjJFw2IxluopLFSZNEmyq0IIIcJv3rwgxcUqI0dqLFvWt8pqn37aypVX+snM1ElN1RvXMxe9Q6j+a/wWWNlww+VylQBzgD3Ay8BTwOfAmS6XS749CSFCyu1WiI2FrCydtDSN3/2unuhoHa8XiotbD1hDLS1Nx2bTyc83AlFj/mrr2dukJL1ZN2Mjwxrat8boaOM5H94ESgghhAgXmw3uuque3/7Wx8GDfacseMUKE198Yebaa41W/zNnBqUsuJfp9M8fLpfrPuC+I7ZdCVx5xLbdwA+7PDIhhOighuZJTqfG+vU1WK1GhrGmBoqKVDIyIhO0TZigsW2bSkZGkCVLTPz85/Wt7peU1JRhzc1VKCtTyMgIbVDdELBKwyUhhBCRcv31furrobg4Ck1rufxNb/TOO2ZuuslHUpJx+9hjg6xYYeLKK7vXXV+ETh/4MxJCiKMrLVUamydZD02biY6GsjJjHdbExMiMIzNT469/tTF4cCx2O4wc2XoQmphoZFirquDKK+387nf1rZYOd0fDvNWJEyXDKoQQInJsNoiL0ykt7RtZ1m3bTM2mzxx7bJDvvuv9GdaPPzbz/PMW3n67b5Vfd4UErEKIPq+kRGnRZt/hgLw8Y76oEqHPzIwMnW3bjLfVtsqBweim6HAYwer06cGw/IqblKRz442+VpcfEEIIIcIpI0OnsLD3B6yaZjRInDChqRopO1ujstLogdFbaRrce6+Nl16ycOON9sb+Gf2VBKxCiD7PKAlu/m5tlAQrJCRE7l180CCd+nqFmTODXHXV0YPQqiqFb7818+CD9WEJqK1WuP/+1kuShRBCiHAaNEinoKDpw03X4c03zXi9PTioVuTmKsTH6yQkNG1TVWMea2ezrEuWmEI+d7etoH/FChPR0TrffFPLkCEae/b03uA6FCRgFUL0eW0FrGCU30ZKw1zZG2/04XS2X4p77LEBbLZwj0oIIYSIrKwsjby8pjDj73+3cNNNdhYv7l3lq++/b+G001pWRHWlLPjiix0880zolvNZt05lxoxocnNbBqOLFlm45BI/igIzZvSNEubukIBVDEi6rvPvLc+j9/caigHi8DmsDRoC1khmWBu6EQ8e3H6w+otf1PPAA5IBFUII0f84nRoul4quw1tvmXntNQvnn+/nzTctfPSRmddfN7N5s9qjpay6Dm+8YeHCC1tWRM2cGWTt2o4HgXv3GkFlbGzontCXX5rJyNC54QY7NTWQl6fg80FVFSxebOaCC4xAe+HCAC+/bO3XZcESsIoB6WBNAb/85v/Iq9wLgD8oneD6spISlZSU5kFiVBQoih7hDKtxrszM9s/561/7mDJFGiIJIYTof8aO1di+3cTvfmfjjjuiKC9X+O1v6/F44PXXzSxZYuaKK+w8+mjoMpKdtWGDiqbB9OktP4unTg2yY4dKVVX7x9F1ePhhG6oa2nm7S5aYeeyxOsaN07jxRjs/+pGDRYssvPeehblzA409Ks45J4DbrbB0af/NsvauvLwQEbKtbAsAG4rXs6cil799/xhvn/thD49KdFVrJcGKYjQ2OnxeSrglJ+tcfLG/xViEEEKIgcTpDLJunQmvF1avrqG6GgYP1vnww6ZJrAUFCrNnR3P77b4eGeMbb1i44AJ/q30kHA6YPTvIF1+YOe+8tpsoAjzxhJWdO1WeeaaON9+0hGRsZWUKu3apzJoVZNasIJdcYqeoSGH5chN79qjcdVdThZbJBPfdV8dvf2tj3rxaLKEZQq8iGVYxIG0t3UKUKYrvi9ezZP8XrC9aS1CT9Sr7mgcftPLgg1by8tRWg8To6MjOYVUUePLJuj6x7pwQQggRLomJcOed9bzxhpe0NL3VZd4GD9bRNHqkEZPfD+++a+aCC9qusDvzzAAffWRG16G6umn7nj0KDz5oZIbfeMPMSy9ZePllL6NGac0aTXVVZSXcc4+NOXMCWK1GE8VXXvHy8ce1fPyxmcpKhR/8oPl31tNOCzJ4sM6LL/bDaBUJWMUAtbVsM1dOvJY3di7i/Zx38Gt+cjy7enpYohPq6+HJJ62YzfCTn/gYPLj1gDWSc1iFEEIIYbjzTl+7FUdxcTqVle0Hea+8opCXF6qRwdKlJkaM0Bkxou3xnX56gKVLzXz8sZlLL7Uzf76D3bsVbrzRzpNPWtm9W+Gee6JYtMhLRoYesqV8Xn3Vwu7dKjfd1BRM2+0webLGSy95WbSotsUP44oCf/hDPY8+auXdd/tfAW3/e0ZCdMC2sq38fNodnD3qXL7av4RtZVvZWPI9zqSxPT000UEej0Jios4dd7RdSuRwRDbDKoQQQoiOi4/XqahQGpsWtqa6Gm6+WWHMGIX33jM+27urrWZLh0tJ0Zk8Ocjjj1vZulUlEFC4+GIHY8ZojB2r8fTTVubPDzB2rNa4f1WVQn092Gw0NkHqzNJ1ug7/+Y+FRx+t57jjWlb+HZlZPdzYsRqPPFLPLbdEcdJJ1RGdEhVukmEVA4434GVfZR6jE8cwM2MWd868m2npM9hUsqGnhyY6weNpf43V2FjJsAohhBC9VXw8VFS0fX9ZmcJJJ0Uzfz6MG6dz551R3e6GW1kJS5eaOffc9htunnlmgI0bTQQCCikpGj4fPPFEHcccE+TVVy3MndsUQKoqpKUZWVafDy680M6rr3auRHfFChNmM8ya1bVpameeGWD27CCvv24h2I9muknAKgacne4djEzIxmpq6kw3JXUqm0o29uCoRGeVlyvt/nr47LNaq79QCiGEEKLnxccfvSTY5VLxeBQef1zjmWd0Nm5U+fLL7nXD/eADo8tuYmL7+55xhtFwady4IBdf7Gft2hpSUnQuv9zPVVf5WbCgeUOmjAydgwdV7rrLxpo1Jvbv71yJ8EsvWbjiitYbQXXURRf5+e1vo1i+vP90DZaSYDHgbC3bwvjkCc22TUqZzJbSzWi6hqrI7zh9QUVF+9nT8ePB44nQgIQQQgjRKQ0lwW3Zt0/h1FMDDB9ufDe77DI/n3xi5pRTuv5j9Icfmrn44o4tZzhkiM7//leLw6GTlKQ3duCdOlVj6tSWa6kPGqTx5z9bqapSuP12H/n5HY88V640sXSpmYcfruvwY1pzzjkBzj3Xj9ttnLu+3ujIfLT5ur2dfDMXA862si1MSJ7UbFtiVBJJ9mR2e3J6aFSis4wMa9998xVCCCEGurg4HY+n7aDuwAGVrKymdVJPOy3AZ5+Zu1QWrOvw3HMWvvzSzEknHX2pmsOddFKQY4/VyM5u/6SDBumsXGnm97+vZ8gQ7ajPrcGWLSoXXmjnF7+I4oEH6oiP7/DQ2hQfr1Nebpz71VctzJoVw8GDoVsjNtIkYBUDztbSLUxImdhiu1EWLPNY+4qKCglYhRBCiL6svZLg/ftVhg5t+qwfOVInJgY2b24ZwvzlL1aKito+1rffmrjnnigmTAiGJChszaBBGiaTzrRpQRITjaDxrrtsPPCAtcW+BQUKt9wSxUUX2VmwIMCyZTX8+McdD6SPJiGhKXO9f7/CuHFB6rqXuO1RErCKAUXXdbaVbWF8csuAdXLKFDZKwNpnSIZVCCGE6NuMpksKdXVQXt7y/v37FTIztWbbTj3VyLIerqoKHn3UyhNPNA8M3W5YssREaanCX/5i48knvSxZUhvy59Fg8GCdSZO0xmX1PB6FF1+08tZbTc2XKirggQeszJ8fzaBBGqtW1XDNNf7GcuNQaDg3QE6Oyh13+KQkWIi+ori2CJNqIs2R1uK+yalT2SyNl/oMybAKIYQQfVt8vM4HH5iZPDmGa6+1t7j/wAG1RcB62mkBPv/czJo1amOZ6/r1JsaO1fjkEzP/+Y+FTZtUPvvMxNNPW7nrriiOPTYagAsvDHSroVF7Tj01wJNPGqnMxESdsjLjZEOGGM/hH/+wcOyxMRQXqyxdWsOvf+0jNjb040hIaOrhsWuXidGjtaM/oJeTpktiQMnx7GJUwuhW78uIHkSptyTCIxJdVV6uEB8vAasQQgjRV82ZE6C0VOEHPwhw3nkOgkEwHWpuq+tQXKyQkdH8s37WrCC5uSqXXurAZNKJioKCApWf/ayeyy7z86MfOfD7oa5OQVHg7bdrmThRQ9ebjh0uMTE0rsuamKizf7+RG/T7FfLzFf76VxuLF9eEPdsZH29kWIuKFA4eVBgxQgJWIfqMHM8ustsIWGOsMdT4ayI8ItFVpaUKqakSsAohhBB91ahROv/3fz4AUlJ0du1SGwO+qipjbdOYmOaPsVjg4ov9zJgR5JxzAuTlKRQXK4wapZOcrPP227W88oqFyy7z8/zzViZN0sKaVW1LXJzx//PnB9i5U+W556xcdJE/IqW5iYnGHNZHH7Vy+eV+bLawnzKsJGAV/dIzG57isvFXEGuNa7b9aBnW2vIYyqqrIzE8EQJFRQrp6RKwCiGEEP3BtGlB1q0zNQashYUqGRmtZwb/8IemJWWGD9cZPrx5Y6Z77zWC4D/9qeXSM5GiHpp4edppAZYts/Haaxa+/DIyiZH4eB2XS2X7dpXly8M3ZzdSZA6r6Jd+t+LXPLn+sRbbd5fvYlRCdquPeXNRIt6gEbAercuc6B2KilQJWIUQQoh+Yu7cIN9+21SzW1jYshy4r/nlL+u58EI/cXE68+cHyMyMzPNJSNApLVW5/no/ycl9+xqCBKyiH6oPGr+mfXNgaYv7tpRtZkIrHYIDAfjfq0bNyeIvgkyaFNNiH9E7nHOOnVdfNVNbC0lJff9NWAghhBBw4okB3n7bwoMPWqms7B+VVLff7iMuzgjGb7nFF7HzpqTozJ0b4PrrI3fOcJKSYNHvlNe5AfAF/Y3b6gJ13LfiN9QFvAyNzWrxmC++MDF4sM5BXwzfflcLJERquKKTVq0ys2qVmczMnpmTIoQQQojQGzpU55e/rCc3V2Xq1BiSknTOOis065L2tH/+M7KLoNrt8Pbb3oieM5wkYBX9jvtQwBrQmgLWPRW5vLDlnwAorUQ5L79s5ac/9fF9XgxfuTYBg9C0pvkHoneoqACHQ6e2VqGkRKJVIYQQoj+5/XYjI1hZCZ9/bmbixL7d3VaEhnwdF/1OeZ2bdEcGPq2pDKLEWwzA06f8s8X++fkKa9eaOOecAGYtlp2zzoCRXyL9l3qfHTtMjBunMXdugPp6CViFEEKI/iguDs4/P4DTKQGrkIBV9EPuujLSozMIaE1lJCW1xZyXfT4XjLmoxf5btqhMnx7E4QArxsLSSYkKFRUSEPU2O3aoOJ1B/vMfL999J78oCCGEEEL0dxKwin7HXecmzZ6GL9iUYS2uLSbNkd76/m6lsYNalGI0W4qNQQLWXsjlUnE6NWJiaNbCXgghhBBC9E8SsIp+p7zOfSjD2jSHtbi2iNSjBKyJiUbwYzcbAas9rlYC1l5ox46mBcWFEEIIIUT/JwGr6HfcdW7SHGn4jghY0xxpre9/WIZ1SIpREhwVKwFrbyQBqxBCCCHEwCIBq+h38qsPkBU7vEWG9WglwQ3reY4Z7gDAFu2lsjL8YxUdV1qq4Pf3/UXEhRBCCCFEx0nAKvqdnPJdjEse32IOa2obGdaysqaANcZqlARbo714PJJh7S2WLDHx0ENWnM6grL0qhBBCCDGASMAq+hVN19hbmcuYpLEE9SCabpSPlniPnmFtKAm+cMzFzBtyIha7BKy9yRdfmHnxRauUAwshhBBCvnExdAAAIABJREFUDDASsIp+5UDVfhJsicRYYrCqVvyan4AWwFPvISUqpdXHHF4SPCFlIlPSjiEmsYadO+Xl0Vvk5Rn/LSRgFUIIIYQYWOQbuehXcjy7GJWQDYDFZMUf9FHmLSXRloRJNbX6mMO7BANEmaIYlFXL8uVmgsGIDFu0Iy9PITZWZ+JECViFEEIIIQYSCVhFv5LryWFUwmgALKoZv+Y/asMlXYfKSoX4+MMCVrMdc5SX1FSNLVvkJdLTNA327VNZsaKGWbPkFwQhhBBCiIFEvo2LfiXHs4vshgyrasXXGLC23nCprg5MJrBam7bZzVHUBb3Mmxfkm2+MLOvTT1siMXzRiqIihZgYnfR0XRouCSGEEEIMMBKwin4lx5NDdmOG1UIg6Ke4trjNDGt1tVFqeji72YHX3xCwmiguVrjvvijKy8M+fNGK4mJZykYIIYQQYqCSgFX0K7s9u5pKgk0WfJqP4tqiNpe0qaqC6Ojm26IOZVjnzAmwdq2pseHPzp2tz4EV4VVe3nyOsRBCCCGEGDgkYBX9Ro2/hjJvKUNjs4BDGVYtQIm3uM2S4NYyrFEmO95AHfHx4HRqfPCBGYBdu+Tl0hPKy5u6OAshhBBCiIFFvoGLfmNPRS7D4oY3dgO2qFZ8QV9j06WVK028+aa52WNaLwmOoi7gBWDevADvvGNGVXVcLnm59IQjuzgLIYQQQoiBQ76Bi37j8HJgMEqCA1rTHNYVK0x8+GHzgLWqCmJimh/HbnbgPRSwnnBCkNJSlYkTNfbulZdLT5AMqxBCCCHEwCXfwEW/YXQIPixgVZvmsKbZ0ykrU9i7V+V//2sKWquqWikJPizDOnNmkKgonWnTghw8KC1qe0J5uUJCggSsQgghhBADkQSsot/YU5HLyIRRjbcb5rAaGdY0ysoUtm0zccstUdTXG/tUVytERx8ZsNqpC9YZ/46ChQsDnHRSkIICCVh7gjRdEkIIIYQYuCRgFf2G21tGij2l8bbFZKXKV0ldwEu8LYHSUiPg1HWFAweMfxsZ1ubHiTJHNZYEAzz7bB0LFgSorFSoqwv/8xDNSUmwEEIIIcTAJQGr6Dc89R7ibYmNt62qhfzqfNIc6SiKQmmpgsViBD779hl/+tXVtCgJtqpW/EF/s22qChkZOoWFkmWNNMmwCiGEEEIMXBKwin7DU19Ogi2h8bZFtVBQnU+qIxWA0lKFu++u55RTAocFrAoxMUcErCYbPq2+xfEHDdIoKJCXTKQVFyukpkrAKoQQQggxEJnb30WIvsFT72kesJqs5FcfIM2RjqYZmbrrr/fj9yvs22dkSisrWzZdsqoWfEdkWHMrdjNkyATy8yXDGkn19UbAOmSIBKxCCCGEEAORpItEv6DrOhX1HuKbZVjNjQGrxwMOB1itkJWlsX+/8afv8SgkJDQ/ltVkwxdsyrBW1lcw//XjyczUOHBAXjKRdOCAwqBBOmb5aU0IIYQQYkCSb9+iX6gJ1GBWzUSZoxq3WVQr+dX5pDrSqKpSiI83snRZWVpjSbDb3bKhj81kw6f5Gm+X1pXiDXgZnOlj/37JsEZSXp7K8OFaTw9DCCGEEEL0kE4HrE6n8xyn01nVycfc53Q6paZPhE1FXfPsKhhzWPOr9pPmSMfrVbDbGwJWvbEkuLycFg19TKoJgIAWAKDMWwpA6pCqxsysCJ9rr43Ce6hJ8549KsOGScAqhBBCCDFQderbt9PpPB54BehwmsnpdE4E7u7kuITolCPnrwJYTBaCepA0ezp1dcaaqgBpaTo1NQrV1W13oLWZbPiCRpbVXecGIDmjRgLWMKushPfft3DggMqXX5p48kkrc+YEe3pYQgghhBCih3RoZpjT6bQBPwf+ANQA1g4+zgT8CygBhnRxjEK0y+gQnNhsm0W1ABgZ1uKmDKuiQGamURbs8bQesFpUK75gPQ6LA7e3DIC4lCoKChQ0zVjmRoReXp5xYf/0JyubNpn4+9/rmDtXAlYhhBBCiIGqo1+7z8DIkt4J/K0Tx78NiOvkY4TotNYyrJ56DwAjE0bh9TZlWAGGDtXZtk3F4QCLpeXxrCYr9YfmsZbWGSXBurmWmBidkhKZxxouDRnsjz6y8MADEqwKIYQQQgx0HQ1Y1wAjXC7Xk0CH5qI6nc5s4D7gOqDlopZChFCZt5Rke0qzbXfOvJtVP/meFHsKdXVNGVYwGi9t3GhqNbsKYFWt+BtKgg9lWGsCtQwdqkvjpTBqmFsM4HTK3FUhhBBCiIGuQyXBLpcrvzMHdTqdCvA88LLL5VrmdDpndGVwDRISHN15eAtmsxqW4w5EveVaVuseMhMHNxtHQsL4xn8rikJcXNM4nU6FDz9USE1tfex2axS2aJWEBAfVWgUAqi3AyJEKZWV2EhJC30Ost1zLSHvwQQW3Gx56SKeoSGH0aJ0DB2DKFHu3Sq8H6vUMF7meoSPXMrTkeoaOXMvQkWsZWnI9Q6cvXstwzcS7AcgGfhmm44t+Jq8ij6DW9fLP4ppi0hxpbd5fV2esw9pg2DCdtWshObn1/a2HNV0qqS3BrJqp8dUybBjs29flYYojlJTAww8rvPSSQn4+7NqlcPLJOuPGyTxhIYQQQgjRwQxrZzidzqHAQ8BVQK3T6TRzKDA+9G/N5XJ1qtbP46kN6RgbflEI9XEHolBdy7NfO4s/zHmQE4fO79Lj8z0HmZw0rc1xlJVZUFUVj8eoTk9JUamvj2bcuHo8Hl+L/U2YKfNU4LHUsr1kO+OSJlBS4SY11ceOHU3HCaWB+He5davK8OFRzJoV5LHHdLZts3DffbVccw14PN3LYg/E6xlOcj1DR65laMn1DB25lqEj1zK05HqGTm+9lqmpsW3eF44cxg+AWOBNwH/of389dJ8fuDcM5xR9WJWvEpd7Bweq9jduqwvU8eT6R9H0jv22UeotIcWe2ub9xjqsTbezsozjLlwYaHV/m8mKL+ijsr6CopoiJqdOodZfy9ChGgcOSOovVA4cUBkyROO663y8/LKVsjKFESN0hg+XZZuFEEIIIUR4AtYPgJlH/O/RQ/fNBJ4LwzlFH/Z98Xp0dHZX5FB2qMHRr7+9kz+uuo8af3WHjlHqLSHV3nZJsNEluCkISkyEP/+5jqlTWw+IjWVtfGwp3cz45AnEWGOpDdSSmSlNl0IpP18hM1NnxAid2bMDjBypYTL19KiEEEIIIURvEZKSYKfTOQpIdblcq1wuVxlQdsT9cwFcLtfaUJxP9C/ri9aSaEvk2Y1Psb1sKwtHns2awtUk2BKoDXiJtca1e4z2Mqx1dZBw2Ko3igLXXONvc3+ryUZ9sB5X+XYmp04h2uyg1l/D0FFGhlXXjWOIrluxwsR999m45x6jvPqXv/Sxfr1Eq0IIIYQQokmoMqy/BVaG6FhigFlftJYzRpxFQAvw9YGl/Hn1/fx7wX+JsyXg9bdfX1/jr6HKV0VSVFKb+xglwR0vM7WqFvyaj00lG5mcOhWHJZraQC2xsWC1QlmZRKvd9fe/WwkGlcYfEsaN0/jJT9r+EUEIIYQQQgw8nQ5YXS7XfS6XK+aIbVe6XK42v8G7XK7Hj3a/GJiKaovwBrysK1rL2aPOBeBHoy/kiflPk504GofZjjfgbfaYpzf8jYe++1Ozbd8c+IpZg2ZjUtvOztXV0WwOa3uMDKuPzSUbmZQ6BcehDCtwaB6r/Dl3V0UFXHyxn9NPb30esRBCCCGEENI9RvQIl3sHk14czW1Lbwbg+CHzuG7SjTz1g39w6vAFANjNdryB5hnWbWVb+DxvcbNtn+/9lNOHn3HU83m9SrM5rO2xmaxU1HvYV5WHM3FsY4YVIDNTY/9+eel0h6bB1q0mfv/7OlJSpMGSEEIIIYRonXzrFj2iuLYIgPd3v8v09BnYzXYemPdQs33sZkeLDGte5V42lWygvM7duG1/1T5GJzqPej6vt3MZVovJyvfF6xmTOBaryUqUOYq6Q2PJyNApLpYMa3esWmVi8GCNxMSeHokQQgghhOjNJGAVPaKivoLp6TMJaAGmpc9odZ/WMqx5lXuZmnYM7+S81bitxl9DjDXmyIc309k5rDaTjXVFa5icOgUAi2rBrxmlq4mJOm63BKzd8de/Wrn55pbr3wohhBBC9AW7PbsIasGeHsaAIAGr6BGVvgqyE0YzKHpwmwGrwxLdLMNaF6ijvM7Nb467j5e3vti4vcZfTbTl6AFrXR1ERXV8fBbVwg73NialGAGrWbUQ0IyGQImJOh6PBKxdtXq1ibw8lQsvlLmrQgghhOh7VhYsZ/ar03l6499YV7Smp4fT70nAKnpERX0F8bZ4Xj/7HeYMntfqPnaznZpDjY4A9lXmMThmCNPSprOnYnfj9hp/DdGW6KOer6hIJTGxE12CTTY0XTssw2rGfyhgTUjQKS+XgLWr/vpXKz//uQ+LpadHIoQQQgjReR/ufo90RwZ/WHkvD6z6fU8Pp9+TgFX0iEpfBXHWeMYmjWuzu++Rc1h3lrsYk+gk2hKDjk61vxqAan/VUTOsubkKtbXgdGodHp9VtWJSTIxLngCARbXiDxoBa1KSBKxdtXevwtatKhddJMvXCCGEEKJv2l2Rw01TbyXFnsL3xeup7cAyjKLrJGAVPaLyUIb1aOxHLGuzw72NsUnjURSFVHsaJbXFwKE5rEcJWD/7zMxppwVQO/HXbjVZGZM4FrvZ6NRkzGFtyrBKSXDXFBaqDB+uY7X29EiEEEIIIbomx5PDacNP5/srtjMheSLfFa7q6SH1axKwih5R4asg3pZw1H0cRzRdcrl34EwaC0CqI42S2hL8QT8BLYDNZGvzOJ99ZubUUzs3X9JmsjEpdXLjbfNhAWtiomRYu8rjoVOl2UIIIYQQvUldoI6imoNkxQ7HZrJxQuZJfHPgq54eVr8mAavoEZX1Rknw0djNDrz+lhlWOBSweosbGy4pSusBZEUFbNhg4oQTOtfF7cfOS7hjxq8ab1tUM4FDXYITEpCAtYs8HoWEBAlYhRBCCNE3bSj5npHx2VhMRjOOE4bOl4A1zCRgFT3CyLB2pCTYyLD6gj7yKveSnTAaoLEkuL2GS0uXmpk9O4jD0bnxDYoZzPD4EY23zabmJcGVlaB1fErsgLdqlYlx46IpL1ckwyqEEEKIPus/W1/gorGXNt6eljadXM9u3HVlPTiq/k0CVtEjKuoriGsvYLU0NV3a7ckhM3YoUWZjbZpUR+qhDOvR568uXtz5cuDWWA5b1sZshuhoqKzs9mEHjC++MFFWpkqGVQghhBB9Vpm3jM/2fsrFhwWsVpOV4wbNZnn+tz04sv5NAlbRIyrqPcRZ4466j91sp/ZQhtXl3o4zaVzjfWMTx/Htga8PdQhuO8O6Zo2JefO6H7BaVQu+oK/xdkKCjtstZcHt0Q/FpsXFxltNebkErEIIIYTomxbteIUFIxaSFJXcbPu8zJP45sDXPTSq/k8CVtEjyuvcJB/xYj/S4cvaGPNXmwLWs0adi7uujPdy3mlzSRtdh+JihYyM7gdIZtXSOIcVjKVterJTcDAIL7zQuxcyDQZhxoxoPvnETHGxca08HikJFkIIIUTfo+ka/9n6AldOuKbFfZNSJ7PDva0HRjUwSMAqIuah7/7E+znv4A14CWiBo66dChBvi2+cD7DDvaNZwGpWzdw9617+ufmZNjOsVVVgMhnlu911+LI20PNL27hcKr/5ja0xg9kb5eSoeL1w++02vvvOWGtXMqxCCCGE6Is+z1tMrDWO6ekzW9yXnTCa3Z5dVPma5ovpvflLWh8jAauImI0l3/Pmztcpr3OTZE9us7NvgzGJY9np3oGu67jKtzd2CG6wcMRZTEk9ps2AtbhYIS0tNG8W5sPmsIKxNEtPlgRv2qQSDCrU1PTYENq1ZYvK7NlBXnnFi8Nh/HdwuyXDKoQQQoi+57G1D/GL6Xe0+v013ZFBqbeUUc9n8uT6xzjhtVkMey6dV7e/3AMj7X/MPT0AMXCU1BbjKt9BfvWBFrX/rUlzpGFSTeRV7iW/6gAj40c1u19RFB468TEOVO1v/XwlKmlpoWnla1HN+A8rCU5M7NkM68aNRsayqkohJqZ3BoCbN5uYOFFj2jSNzZtrGDEihoMHJcMqhBBCiL6j1l/LZ3s/YV/VPhaOOKvVfQ4PYv+0+ve8cPorrD64kvzqA5EaZr8mGVYRMSXeElId6byX8zZJUUkdeszYpPF8mPs+w+NHNK53dbhJKZM5Y8SZrT62qCiEGVZT8wxrQoLeo2uxNgSsFRW9t/FTbq7C6NHGDwaKAg6HTmmpKhlWIYQQQvQZb+96g+s/v4pThp2GSTW1ud+dM+9mXuZJJEUlsWDEQtIc6VT5qiI40v5LAlYREbquU1JbzE/GXs6bO1/vUIYVYFTCaJblf82QmMxOnW/zZpXrr7cTHx+a4MiqWvFpTV2CExN7LmANBGDbNhWnM8iOHSqbN/fOl3FBgcqQIU0ZbocDFEUn7ujNoYUQQggheo1tZVuYl3kSN0752VH3u3Pm3fxxzoPcPPUXqIpKrDWWaglYQ6J3ftMV/U5FvQeryca52efhrnN3OMOa7khne9k2ku0pnTpfXp7xpx0V1emhtspyqEtwwwT6ngxYc3JUMjJ0MjN1fvazKH7wg2jq6npkKEdVUKAweHDTDwbR0ToJCaDKu44QQggherni2mJyynfxXeFq7pzxK8YnT2j3MeOSx3PzMbcCEGeNkwxriMgcVhERJd4S0hxpjEzIZnTCGJLsHcuwpjrSOFhTQIo9tVPnKypSuPxyH/ffX9+V4bagKAomxURAC2AxWXp0DuvGjSpTpgQB8PmMMRQVKQwb1ntKbevrobJSITW1aUwOBzJ/VQghhBC93v6qfZz42mzSo9OJtcQyKXVKp48Ra42l0lcRhtENPBKwiogoqS0m1ZEGwNWTrmNIzNAOPS7VbjymsxnWoiIju2cO4V94w9I2FpOF2Niemz+6aZOJSZOCjVlkpzNIYaHKsGHBHhlPawoLFdLT9WbZVIdD79XL8AghhBBCALyw+Z9cNv6n3D/nT10+RoxkWENGAlYREWV1ZY3zVq+ZdEOHH5fqMDKrqZ3OsKrMnBnaAO7wpW3UqCpqa20hPX5HbdyosmBBAI9HITZWZ/RojaKi3tN8Sdfhd7+zYTmiR1Z0tN5imxBCCCFEb1Ljr2HRjpdZfMFX3TpOrDWWar8ErKEgs8lERFT7qoizdr7bTkOGNaWTGdbCQoWMjNAsadPg8KVtrl4/nepA5Ms8gkHYutXE5MlB4uIgM1MjI0OnsLD3BKxut8LHH1u49FJ/s+1SEiyEEEKI3u7Nna9z7KDZDIsb3q3jxFpjJcMaIhKwioio9FUQa43t9OMayoiTozpfEpyeHtrgyGKy4j/UKbjS76Y2EPk3od27VVJTdeLjIS5OZ/BgvdcFrAUFCuPGBbn1Vl+z7dHRuixpI4QQQoheS9d1nt/0LNdNurHbx4qzxlHpqwzBqISUBIuIqOpihjXaEk20JYYUR+dKgouLQ7cGa4OGOawAPq0ebyDyrXkPb7g0d26AjAyNigqFdevM6Lqx3mlPO3iweXfgBg4HxMRIwCqEEEKI3umbA1+hKipzh5zQ7WPFWGKp8Vej6RqqIjnC7pCrJyKiyldFTBcCVoDXznqbzA42aQLQNPB4FJKSQhscmVUzfs1PUAui6Rpef13Emwht2mRi8mSj1Dk7W2fBgiAnnhhk716V666LwuOJ7HhaU1CgMnhwy3LsSy7xc8EF/lYeIYQQQgjRs+qD9Tyy9kGumXQDSggyACbVRJTJTq2/JgSjG9gkYBURUeWr7FJJMMCsQcd16o2jogKiowl5gx+LaiEQDFAfNJbKUSxe/BGOvzZvVpk0qXkzqYwMncWLa0lI0LnhBntkB9SKtjKs48drjBolGVYhhBBC9C6+oI9rF19Bij2VS8ZeFrLjGkvbSFlwd0nAKsJu9cFV7KnI7VJJcFe43aHPrkJTSbDvUMBqi/FSWxvy0xzV/v0qw4e3zF5GRcGvfuVj/XpTjy8d01aGVQghhBCit9F1nVu+vAEFhX+c+gIWU+gyHgm2BDz1vaD8rY+TgFWElT/o5+x3TmN5wbddzrB2VmmpSnJy6KO2hmVt6g81XrJF11JbG7lJo7p+9GZSKSk6NptOQUHPTWQNBGDFChMTJkjAKoQQQoje742dr7HLs4t/nv4SVpM1pMdOjErCU1ce0mOCEWS/sOWfbCheH/Jj90YSsIqw+nTvx43/jrXGR+ScbrcSloDVarLg03z4g0bAanXURTTD6nYrOBxgP0rV7/jxGlu39tzL+tNPzaSn643zbIUQQggheitd1/nb+sf4/fEPYDPZQn78hKhEyus7F7Dur9rH/SvvbfP+oBbkV9/ezr3L7uadXW91d4h9ggSsIqwW7/2YYzOOA4hYhjVcJcFGhjXQWBJscXjxeiOXzezI2rLZ2Rq5uT33sn7uOQvXX+9rf0chhBBCiB72bf7XIesK3JpEW2KnM6zPbniK13b8t837/7jqPna6XTz1g3+wpXRTd4fYJ0jAKsJG0zWW7PucayZdD0QuYC0rU0hODn2Gr2EOa/2hDKvZ7qWmJnIBa0fWlo2L06ms7JmS4E2bVPbtUznzzECPnF8IIYQQojOe3/RsyLoCtybBloi73t3h/SvqPbyx8zUq6j14A95W91m892P+MPdBZg+Zy6bSjazIX8bG4u9DNeReSQJWETbfF68jOSqFOYd+tQpn06XaWrj4Yjsnnujgf/8zhynDaiZwWNMlc1Tkmi7V18PTT1tJSWk/YK2q6pmA9fnnrVx9tT/k3ZmFEEIIIUItr3Iv3xWu4vwxPw7bOZI6OYf1lW3/4eSsUxkSk0lB9YEW97vryiisKWRc0njSHenEWmK5dcn/4zVX2xnZ/kACVhE2n+ct5pRhp5NqT2VC8iRiLOHLsH7+uRmvFx5/vI6f/tTPwoWhz/IZGdYAvkNNl0y2yJUEr19v4ptvzIwZc/TMcWwsVFVFZEgtfPWViXPOkXVWhRBCCNH7vbD5n1w89jKiLdFhO0dCVCKeDs5hDWgB/rX5H9w45WYyY4dyoKplwLq+aC3HpE/HpJoAuNB5Efuq8thetg2AN1yvceuS/4fe00tGhJgErCJsvsz7nFOHnY6iKCy9aHnjiysc3G6F0aM1jjlG47rr/IwcGZ45rL6gD9+hkmBTBDOsOTkql1zi57bbjj4/tKcyrAUFCn4/DBvWv94ghRBCCNF7BbUg5793NlWtrHVa5avk19/eSUBrmcSo8dfw2o5XuGritWEdX6ItkfIOZlgX7/2EIbGZTE2bxpCYTPKPyLC+vO1FPtz9PhOTJzVuu3ri9dw189dsL9vKr7+9kyfW/5XVB1eyvODbkD6PniYBqwiLoppC9lbuYWbGrIicr6JCIT4+vMFSij2VEm8x9YdKglVrXcSWtdm1SyU7u/15ubGxPROwrlljYto0jTBNARFCCCGEaGFt0Rq+zf+a3Z6cFvct2v4Kz2/+By9sfg6AvRV7qPUbmYY3d77OrMHHMyxueFjH15kM66LtL/OTcVcAkBk7lLzKPc3u//eW51m04xXGJY9v3JYencHtM36JSTWxq3wnH/3oc66aeG2/6x4sAasIi68PLOWEzJNCuvjy0Xg8CvFhXjUnO2E0u8t3NWZYFYuXmprwnrNBTo7K6NHBdvdrCFj9fvBHqDp31SoTd99t47LLpBxYCCGEEJHzce4HANzy5Y38c9Mzjds1XeP5zf/gkROf4F9bnuPqTy/n2P9O4Z+bnkHXdf61+R9cO+mGsI8v1Z5GUU1hu/utKljBptKNnD3qhwBMSJ7E4r2fcubbpwLG8ju5nt3o6IxNGtfssYqi8O65n/DqmW8Sb0tgauo0tpdtDf2T6UESsIqwOFC1n1Hx2RE7X0UFJCSEN8M6OnE0uzw78R+aw6ravBHJZlZXw4YNKuPHdyTDasxhfewxK089FdrFr1vz3ntmrr46ir//vY4zzpDuwEIIIYSIDF3X+WjPB5yQOR9X+Q7e3/1u431L9n1OvC2By8dfyVcXrWRMkhMAb9DLsvxv0HWdeUNODPsYRyaMYn/VPuoCdW3u4w14+cXSm/nzvEca59NOTp3CtrItrClcTVFtEcW1RehomFUzoxOdLY4xJsnZmCRyJo1lh3t7v5rHKgGrCIvi2iLSHGkRO19FhRL2gHVUwmhyyncdVhLsjcgSMn//u5UTTwySldX+84uNNZa1yc9X2bEjNC/v0tKWz1HX4emnLdx7r43XX/cyf3772V8hhBBCiFDZWrYFdJ0zRpwJwJbSzY0deVcfXMXpw89AURTsZju/OvYeHjvpKQqq83ls3cNcP+WmsC1lczibycaI+FG43Nvb3OfhNX9mYspkzhx5duO2obFZJNoSsZlsrC9aS27FbiYkT2L1Tza02yQqMSqJGGtMizmwfZm5pwcg+qcSbwmzB8+J2PkiMYc1K3YYpd4SKuo9RJmiUEx1XQpYfUEf3xWu6tAi1YWFCi+8YOWLLzpWe9zQdKmsTKGwsPtvxBUVMGNGNLm51QQCcNttUcybF2DTJhPLlpn46KNaMjP7zy94QgghhAg/T105CVGJ3TrGx7kfsHDk2QyPG86ohGySopLZ7t7G7MFz2FORy8KRZzXbf1DMYP7nWsTohDFcMvaybp27M8YnT2Bb2VampB3T4r4Nxet5bcd/+eqilc22K4rCwyc+zrqitdz59S/Q9CBnjDiLobFZHTpndsJodntyyIwdGpLn0NMkYBUht7lkI/lV+0m1Ry7DasxhDW/gZFJNjIgfyfay7cTZ4tF0LxUVnT/OltJN/HzJTay7fEu7+/7lL1Yuu8zH0KEde27R0eD1QnGxwu7dKrpOtxoh7dqlUlurUFEBX3xhZsMGlbfeiuL444N88EFt2OcNCyGEEKL/qPakhM8gAAAgAElEQVRX86tvbqe4toj/nf1u+w84io/3fMiDJ/yVaWnTeeH0V3h241PkeHYxe/Ac9lbuYUTcyGb7D4nJRNM1zh71Q8xq5EKg4fEjyKva22K7L+jjF0t/xu+Pf6DVqsRzss/j5GGn8qPRF5BkTybDMajD54y3JVDp68KX1F5KAlYRclcvvpy8yr2kOdIjds5IZFjBKAveVraFOGsceqBrc1gbFn3Wdb3dcpQPP7SwbFnHOzupqhG07t2rUltrBK7p6V2/Ljk5Rlmx263w9ddmrrvOz4gRGscdF8Rm6/JhhRBCCDHAVNZXsPDtU5iWPoN/L/hvt4931cRrmZl+LCbVxLjk8WQnjmFX+U50XWdPRS4j4o8MWIcAMGfIvG6fuzOiLTGU1Ba32P637x9jcPRgLhhzUZuPjbHEtJqZbU+8NZ6K+v4TsMocVhFSZd4y8ir3ApDqSI3YeSMxhxWMxkvbyrYSb4snoHqpqOh8wLoppxy/5uOL5S3XDDuczwc1NZCa2rnnlZys4/EojB2rkZvbvZf4rl3G40tLVb75xsQJJwQ48UQJVoUQQgjROasPriTNkc6TJz/T7jzMjvjphKsxqabG29kJo1l9cAWPrH0Qk6K2KDmOscYyPX0m09JndPvcnWE32/EGaptt2+HezvObnuXhEx8Py1zaWFscla2sTdtXScAqQmpD8brGMos4a2TqRYNBo5NuXFz4zzUqYTS1gRoSbUn49OouzWHdV1oGwK8eKMPna3u/sjKF5GQdtZOvUqfT6CY8ZYrG7t3dD1jNZp3Vq01YLDBihMxXFUIIIUTnbSzZwDFp0zu8v67rfLD7PbaUbu7Q/tPSppNgS6TGX8NLZyxqdZ9Pzv8Su9ne4TGEQrQlmtrDAtagFuS2pTfzy2PvYUhsZljOGW+Np7LeE5Zj9wQJWEVIrSxYwdUTr+PKCddEpPsaQEmJQlKSjsnU/r7dNTphDABJ9mTqtKo2A9YqXyXTX57Yakvxwkq3cYxhB3nhhbbXqS0tNQLWzho2zAhYs7O7H7Dm5KhMnqzx7rtmTjgh0K35sEIIIYQYuDaVbGBK6tQO7//2rjd4eM2feC/n7Q7tnx6dwetnv8N9x/8xoo0/22NkWL2Nt9/a9T8sqpUrJlwVtnPGWSXDKkSrdF3n/d3v8GPnJTx04mMRO29BgcLgwZHJ/GUnjgYgOSqF2mA1VVXGEi9H2liygf1V+6j2V7W4r6SmDHSFsy7exxNPWFtdNgaMQDwlpfPP6wc/MNZDHTFCY/furkeYfj/s368yfXqQLVtMnHCCLF0jhBBCiM7TdZ21RWuYmjatw485N/tHfHXRSn5z3O/COLLws5vt1Pqb+pEsy/+G80ZfgKqELwyLs8kcViFatbl0IwCTUqZE9LwFBSqDBmkROVesNY50RwbJ9mRq/NXYbMY80yOtL1oHgLvO3eI+j6+UZHUExBZwzjkBnn++9SxraWnXAtb584MUF1cxalTX57B6vXDzzVFkZOhkZBhjmDtXAlYhhBBCdN73xetwWKLJihvW4ceYVXNYg7pIcViim2VY1xZ+x8yMWWE9Z5w1nirJsArR0ns573DOqPMiVgrc4ODByGVYAUYnjiHWGodf8xOX4G+18dL3xUbAWn5EwJrryaHEvJEsuxN3nZvJk7U210stLVU63XDpcCNGaOTlqQSPEmf+7W9W/P6W25cvN/Huuxby8xWSkzXGjw92ayxCCCGEGJhWHVzJgrdOZmpq57vd9geHN12qqPdwsOYg45LGh/Wc8bZ4KvrRsjYSsIqQaCgHPjf7vIif28iwRi6YOnvUDxmXPIEYaywJaZW43S0Dzg3F68mKG96YYa32V/PS1hc4653TqYvKY1RCNpW+CmJidCorFf77Xwubj+gpUFbWtQxrA7vd6DC8f3/rAbHfD3/8o5V9+1rev3SpmUsv9fH2217mzw9y//31XR6HEEIIIQau7w6uZO6QE/p8aW9XOczR1PqNgHVnuYsxiWOadTcOhzhrHJX1kmEVoplNJRtQFZWJKZMjfu6DB5WIlQSDse7XcYNmE2OJISG9gpKS5gFfUU0hNf5qpqVNw11Xxk63i2n/Gc+SfV/wwoJXiP33LmYPm0FFfQWxsTq5uSq33RbF/fc3fznm56ukp3fveY0c2XZZcEHB/2fvvMPjqM6+fc/Mdu2q92Zbsi03uRsbd3rvhE4INUDCm0ZC+IDQW4BAAgkhISEQQjNgerPBGHDvchXu6l0rafvuzHx/jCxblmzLsqSV8bmvS5ekmTNznhntruZ3niah6xLl5R33L1igcN11YaZMUcnI0EX+qkAgEAgEggOiamqnhSYBVlWv5Mcjru3QF/VYYd+iS9vd28iPH9Lrc8Za42hu9bDucG9jTvEbvT5nb3LYgrWgoODcgoKCjpVkOo6bWlBQsKCgoMBdUFBQUVBQ8EpBQUFa98wU9Hfe3z6X8/Iv7PNw4EAAFi5UmDix7wWV0+zEldxMTU37a15Ts5pxqRNItCXRGGiguHELx2dO5+UzXmOo9XikxnxykoxQDadTp6zMeBvu3Nn+/Dt3yuTlHZlgPVge6x6hWlHR3v6SEgm3W2LUqL5bBBAIBAKBQHD0cuEHZ3PB+2exompZu+3V3iqWVS5mYvpxUbIs+jjMMfgiRsGTrY3fM7gPBGuCNYF6fx21vlo+2vEh/9v8Sq/P2ZsclmAtKCiYCrwKHFSVFBQUDAe+BFqAy4HbgWnA5wUFBQfu4yE4KtF1nQ+2zeXcKIQDf/65iVGjNPLy+j6/0mlx4kxqoba2/dtoTc1KxqVNIMGWSEOgAW/Yg9PsBAwROmiQRpw1juZgE04nNDdLDB2qsmPH3orDug7bt8vk5x/ZdWVn65SWdv42Lysz3sb7e1gXLDAxe7Z62P1fBQKBQCAQHHt4Qi2sq1nLhUN+xE1fXMu1n11FIBIgokW4ad613FB4M9munGibGTUcJju+sOFh3ebe2ieCNdYax81jfsZPPruCpRWLqPZV9fqcvUmXHkkLCgqsBQUFvwMWAJEuHPJzoBK4qLi4+NPi4uLXgMuAMcAp3TVW0D9ZX7seWZIZmTSqz+fesEFmypTohKvGmF044ps7hASvrl7F+NQJJNoSaQw04A17cVoMwbpjh+E1jbPG0RR043IZgjQ3V8digdpa4xz19RKSBImJRyZYHQ6dQKDj9oYGeOklC3FxegcP64IFCiec0JW3uUAgEAgEgmOdZZVLGJs6jh+PvJYlV6xG0zXOe+90rvn0cmyKjV9P/F20TYwqdpMDf8SHJ+xhacUiJqRN6pN5f3fcXaTHZDC/5AuqvMeAYAXOAO4Efgs824XxG4GniouL960/Wtz6fVDXzRMcDRRVFzEudXyfhwMDfP+9zNCh0QlddVlc2GJb2vVR1XWdtbVrGJtqeFjdwUa8YS8x+3hYBw7UcFni2oouAcTF6QwatDcseMcOibw8jSO9pVYrBDuplzRvnolVqxTGjVPbeVjDYfjuO8PDKhAIBAKBQHAo3tv2LicPOA0Am8nGX0/+Bz8f90tSHWn87eQXfxCtaY4ERVawKBb+t+llpmROI8uV3SfzypLMsyf+nXuOfwBd1/CEPX0yb2/Q1VfQCmBQcXHxX4BDunyKi4v/Vlxc/Nf9Np/T+n3LYdgnOArYUr+ZoYnDojL31q0ygwdHR7A6zU7MzvYe1jp/HYokk+pIJdYSS0uoBV/YQ4w5BoDSUpkBAzRirbE0BZuIidlXsOrs2LE3TDc3d+91VXjKD1jM4GDYbDqBQEfVW18vcfXVIe66K9jOw7ptm0xqqiZa2AgEAoFAIDgkdf46Ptv1CVcMv6ptm9Ps5Jz883n6hOdIsidF0br+g91k5+/r/sr1hTf16bwOs4PbWhcPao5iL6upK4OKi4vLj2SSgoKCHOBJYCXw1eEeHx/vOJLpO2Ayyb1y3mMRk0mmuH4Ll4+8ss/vZyhkCMDx421YrX06NQBJzgTsSoCGBqXt2t3oOC1O4uMdpCck49e8ROQgGbFpxMc7qK6WGTpUJi3JgkWx4IjXsdt10tJMJCRIVFQYr8vGRomBA/e+RlP/Npx/n/Mfsl1Z7G7azaa6jXhDPp47Y/91of1sTIJIRO7wt3G7JUaOhMJChYqKvfubmmDQoI7jj0bE+7xnEfez5xD3smcR97PnEPey5zhW7uU/Nr3O+QXnk5feuzmqR/v9dFqcOC0uzhl5RlQiErNiM/FIjcTHO47Ke9nrPvpWsfpl61yXFRcXC9fND4i5W+by9a6vGZ48vM/n3r4dcnKIilgFsJvtKDYvNTV7twUiAawmGwAuq4uWkIeW0N6iS2Vlhs0A8bZ43AE3LhckJMCAAbB7t7GvvByysoyfw6oRWf/6hv9x9ftX8XLRf4i1xvFy0X8OaaPNRqc5rBUVkJFhzBuJQHNrq66yMonsbPEWFQgEAoFAcGj+u/6/3Djuxmib0e+xmx3cOvHWqIhVgKzYbOr89VGZuyfokoe1uxQUFIwCPgXMwCnFxcXbu3Met9vXo3a1ecN6+LzHInM2vs3/HfcL0pXcPr+fq1aZyM8343b7+3TePUgRE2Gaqa+H+nofigK1jY1YJCtutw89YKLJ30Sj140UMdPQ4KO01InL5cPtBpc5ltLaKmJicrBag2RlWfjsMxm328fOnTZGj47gdkfY3bwLu8nOsvLlhNQgr57+NnaTnQe+uZ/GRu9BP/xUVcHjsXS4R2VldlyuEE1NKpmZDjZtCjBsmMa2bRaSk8HtDvX27et1xPu8ZxH3s+cQ97JnEfez5xD3suf4od7LF9b9lSuGX43LEku1t4pqTxWDHSN7/TqP9vv54NRHOT5zetTsv/e4R3BanLjdvn57L1NSXAfc12se1oKCgsnAN4AKzCguLi7qrbkE0aOypYJp2dOismK0davMkCHRKw5kM9kJaQFiY3UaG43rD6gBbCbD5RtjceEJe9qKLtXVSTidOo7WCIxYSxzNoWacTp24OMPzusfDWlkpk5Fh5LCWtpQwJmUckiThtLhwmB1IkoRZNhPSDi4sD5TDWlUlk55unD8zc2+l4PJymcxM4WEVCAQCgUDQnsZAA/csupPHlz9MSfNuXtn0ElMypx3zRZW6wom5p2A32aM2f4ojJarzHym98gorKCgYiOFZrQamFhcXb+2NeQTRZVH5t5R7Ksh0ZUVlfkOwRqfgEoDdZCOoBkhJ0dsKLwUiAWyK8YHgNDvxtgpWp9lJSYnUTgwavVjdjB2rkpenMWAAlJYa+yorJTIyjLGlzSXkxg4gPy6fXFdu2/EWxUow0km87z7YbODvxAFdVSWRlmacPytLb6sUXFEhkZkZvXsqEAgEAoHg0Oi6jqr1/qJ9ta+aj3d8iCfsYUXVMgqTx7CqeiVnzz2V1dUruXXMbb1ug0DQIyHBBQUF+UBKcXHx0tZNfwZigZ8BuQUFBbn7DN9dXFxc2RPzCqKHN+zlog/OQdM1Ml2ZaFGIyt26Vea666InrmwmO4HIXsE6fDgE1QDWVg+rw+QgqAaNasDmGJasMNrI7CHOGkdTqImnnjL6zsTFgaYZhY9qayVSUw1BWdKymxxXLqqmEtEi+8xvJagevofV7wdVBaeRVktmpkZ5uYSuG1WCBw4UglUgEAgEgv7M06ue4P1t7/L++Z8Sb0votXmu+OhiTLLC/311C0m2JC4eeim/O+7/9dp8AkFn9JSH9R5gCUBBQYEZOBNQgNdat+/7dWUPzSmIIpvqN6DpGk6Lk1hrbJ/Pr2nR97DaFBv+iJ/k5L0eVv8+HlZJkogxO6nxVRNjdrJokYkZM/YK1lhLHE3BprbfJckIC962TUZR9haTKm0pIdc1gJHJhQxJGNo23iJbCaqH9rDu34fV7ZaIj9fberxmZ+tUVMiUlUlEIjBwoAgJFggEAoGgv7C5fhOhfRao3/n+Lf5Z9Dw5rlxe2vBi2/ZqbxV3ffs76v31eEItPL78Yf6y+k88vvzhDufUdI2HltyHph/8OeqZE57js4sWsOzKtTw0/TFuHH1zz12YQNBFDtvDWlxcfB9w337bfgL8pPXnMEaRJcEPmKLadZhkExnOzKjMX1kpteV+RgubyU5ADZC5T0hwcJ8cVjDCgiu9FVilGJYsUXj66b0CM84aT/M+ghWMSsGbNinExu4VjaUtJeTE5nLZsCvR92mDbDVZCan7qdH9beykSnBjo0RCwt7zGB5WE8uWKUyerBKlAnYCgUAgEAj2o95fz+nvnMCguHx+NeF2VlWv5NOdH/H2uR/ij/j4+Zc/5fLhV+EwObju86tpDDSwoX49293bmJ41g892fso1I69rd84dTdv5ZMdHfFO2gLu496DzF6aMASDZnsypA8/otesUCA5Gr1YJFvxw2VBXxMVDLwUlOh7O77+XGTo0uqGrdpONQMR/wBxWoK2dza7vXWRna6Sk7BWKsdY46v117c6Zk6OzaZPcXrA2l5DjykWSJCT2qkmrYiVwSMHaMSR4f8GalWV4WLdskSksFOHAAoFAIBD0F/6z8UXOzb+AUweezi3zbmBM6ji+uPhrEmyJ6LrOjOzZzHpjCmEtwtjUcXx04Re8tvlVHpw2i9EpY/m+oZiBcYPazvf3dc/x7OpnGJVcyKMzn4xamxWB4HAQglXQLYpq1/HHWX/ipIJZUZn/+++jGw4M7XNYv6p/HU/otHY5rAAR3cg5Xb00genT2xdHiLPEsdPdvtNTbi588onc5jkOq2FqfNVkxnQsbGVVbF32sOo6bZ7TxkYjJHgPmZkaFRUS9fUSAwYIwSoQCAQCQX8gEAnw7/X/5J3zPmRY4nBsio0J6ZNIsCUCRurRE7Oe5olZT7c77ufjftH289DEgnb7Li24gmtGXn9UV4wVHHuIOtSCwyakhtjm/p7hiSOjZsOaNQpjx0avpQ0YOawB1U9ScoQVKb+kqHZduxxWgJ1NO5CQWPydhWnT9hOsrUWX9iUnxwgJdrkMQVnuKSPVkYZZ6Rhlb1Esh/SwmkwgyxAO793mdrf3sDqdYLHA9u1yu+0CgUAgEAiix5zv32BMyliGJQ4H4JSBp5NoSzqicybYEoVYFRx1CMEqOGyKGzaT6xqAw+yImg1r1yqMGxddb6DVZMMfCaDG7kQ1NVPuKeuQwwowMmk0K1cqTJ0aabd9/6JLALm5Ok1NEnFxrS1tWvNXO8PWBQ8rdMxjbWiQSNivoGBmpsaGDQpJSUKwCgQCgUDQH/jX+n9w89ifR9sMgSDqCMEqOGzW1xW1JeFHA7cbqqulqIcE2xU7gYifanktAJXeig45rG+f+wG/yXqdQYM04uPbH7+nD+u+5LZq06rsF9B0zRCsrs4Fq0WxHLIPKxh5rH7/3hwVt5sOntSsLB2PRyIxUQhWgUAgEAiijaqpbG0sZnLG8dE2RSCIOkKwCg6botq1FCZHT7Du2CGTn6+hKFEzAQCbyUYgEmB3aA14UylvKSOgBrCabG1jZmbPJlgzkPz8juK6s5DgzEyQZJXlyb+g1lfT1oO1M6yK7ZB9WKFja5v9c1iNeQ37hGAVCAQCgSD61PpriLcmYFWshx4sEPzAEYJVcNisrytidBQ9rKWlMjk50S8OZLS18bOpcS3mHWdT0tTqYd1HsALU10udhtrGWoy2Nr6wjx99cB5g5Jym57agSxo1vmpKm40erJ1hVSyH7MMKHSsFV1bKpKa2v39ZWYZ9IodVIBAIBIIjZ131Om6f92t0vXv/V8taSslydiy4KBAciwjBKugSDy65l9PfPoGgGmRT/UZGJRdGzZaSEpmcnOgLqz0e1vV160isPZfSpnKCagC70r6YwQEFqzWWplATdf5avi1f2Na8O21AA2Csrh4sh9VqsrVrJH5AO/fJYdU0WL26Y/5vZqZGXJyOSdQNFwgEAoHgiHl942v8ZcVf+HjHh4d1nK7rPLz0fi7/+GKyXDm9ZJ1AcHQhBKvgkAQiAV7a8CKlLaX8o+h5RiaNIs4af+gDe4nSUonc3Oh7WO2KHV/Eh0k2kxQZhTvYQCDib9fWBqCurvPcUKtixSybqfJWoekaLcEWAIYUNgJQ4zMEa7az839YFtlKoEseVvD5DA/r9u1Gj9e0tI45rCIcWCAQCASCrlHrq6V5v8KJ+7K+uogZOTNYXPHtYZ339S2vMm/35zQF3dgU26EPEAiOAYRgFRySZZVLGJY4nNk5J/Lgkj9wwZCLompPfwkJVmQFs2xmTMpYXHYLIS1IQA22K7oEhoc1OblzMRhriaO0ZTcAjQFDqF51Qy0ANb5qanzVZDgzOz3WZrJ2qUqw06nj9Ro/r1ghM3Fix3ZA48ap3H33oc8lEAgEAoEAfvHVLdy7+C6+3P0FE/47iqLatW37an21LK9Yzs8m3caq6hVt20tbSlhSsajTMGFVU3l8+cM8tvwhnjvpBWyKDYc5pk+uRSDo7wjBKjgkX5bM48Tck5mQPgmAK4b/OGq26DoUF8udFjGKBjaTncKUMcTYLIS0EIGIv62tTSQCHs+BQ4IBYi2xlLaUAOBurRi8p9VNccMWnGbnAQsuWBQr9yy6k0XlB1+9dbmMCsAAK1cqTJrUUbDGxMA550Q6bD8WCakh3t06p9t5RwKBQCD4YVPlrWR51TLe3TqH2xf+kuGJI/ho+wcALCr/lpPnzOC2Sf/H6fmnU9ywBW/Yy/LKZZz+9onc9MW1fLLzo3bnq/ZVc8mH57O0YjHzfvQNo5IL2XzdTh6d8UQ0Lk8g6HcIwSo4JAtK5nNS7ilcO/IGKm9uPOyG0/PmKZSWSoce2AV27JCIRCA/v3+ICZtiY3TyWJw2K2EtQHAfD+uTT1rIy3MdXLBa4yhtKQXA7Tc8rE1BNybZxIa6ItJi0g84t0WxAFDSvPugNjqdtAnWFSuUTj2sgr08s+pJbpl3A69veTXapggERyVSQz3y7l0oO7aB3x9tcwSCHmdd7VompR/Hi6e+zIJLFnHb+F/zyc4PWVz+HTd+cQ1Pn/Acf5h5Lw6zgymZU7n7uzu45tPLePak53l0xpO8sO6v7c73tzV/IceVy5xz3yfNkQZAjDmm7f+8QHCsI0qsCA5KWUspdf5axqSOQ5IkFOnwesloGlx5pYNbbw1x331HHnL69dcmZs1SkXpG/x4xUzOnMzH9OObHWIgQbJfDWltrGHkwwRpn3RsS7G71rDaHmhgcP4TvG4uZljXzgHPvyW1pDh04hwaMkGCPB5qaoKxMZsSI/uGd7q+8Wfwafzj+Qd7ZOocrhl8dbXMEgv5NOIxcUY5SVoqyexfWOW9gWl+EHh8PSEjuRsIzZyM1NYHZhOaKRUtJQW5sRPJ6ANAdMYQnHUd48lTU4SOIes8ygeAQVHjKyXRmc8rA0wGYlH4cZtnCVZ9cyj9PfYkTc09uG3tpwRX8v29/y2tnvc24tAnU+mq5feH/AaDpGld/cimLyr/ji4u/xiSLx3KBoDPEO0NwUL4qmc/snJOQpe454xcvNh48LJae8YguXKhw7rn9J3T1n6f9BwBXjAl0GU/I0+Zh3dMiJhDovOgSQJwljqK6dQC4A3s8rE1MzZzOlobNbSutnbGnQnDTQYo+wB7BKrFqlcKYMSpmc9evL9pouoaEhNRHKxSVngq8YQ8/KriMZ1Y/ia7rfTa3QNAv8flQysuQS0tQykqRy0pR9vlZrq1BS0lFy85BzcklcMnlBN/+oE10yhXlmJcsQktIQNJ1JLcbubaGyJhx6K5YkAxRa16+FPuLL6CUlqClZxCadSLeu+9FT0iM8g0QCAz+s+FfFKaMZkLaJCo85e1azsiSzJOzn6HCU85JA05td9z5gy/itIFn4jA7AEiyJ+EJeQiqQd79fg4NgQYenfEEQxML+vR6BIKjCSFYBQflq5L5nJV3TreO9fngjjuszJ4doazsyKPPIxFYvNjEk0/2v+JATqeOgpXmUHNbDqvcesnDh2sHdBjEWuMpbS5BlmTcgdYc1lATubEDyY8ffNCQ4Fq/UZypJdR8UNtiYqCxUWLFis7zV/szv//mN2xzb+WGwps5M+/sXp9vZfVyJqVPJtWRSlPQTdrzcZT/tB6zchSpfIHgcNF15N27MK9ZhaloHcruXchlhiiVWlpQM7PQsnNRc3LQcnIJzT4RLScXNTsHLSOTg62CaZlZBC+65JAmBC+/qvWHIHJ5GY5/Pk/ilHH4r72RyJhxSM1NyI0NKMVbkPw+UDWkYJDQzFnw61/u/cAVCHqBkBri0WUPkBM7gC8u/ppyTxkzs2e3GzMhbRIT0iZ1OFaSpDaxCoa4TXWkUemp4Nk1T/PErGeYljWjty9BcAyi7NiGvGsXck01ck0NwR9danxmH4UIwSo4KOvr1nHv1Ae7deyDD1oZNUrjqqvCPPXUkedhfPqpifx8jdTU/pG/ui8xMTqKZqU51NTmYW1pMTxzhYUHFolxljhCWogcVy6NgUZCaohtjd9TkDCMiWnHkeXMPuCxNb5qAJoPIVhdLp3SUokNGxRuuOHQfVv7C5WeCt7b9g7XF/6U2766mdMHlXTb099VllctY1L6ZAAuKbict4pfp7hxS1T7DguOTaTqaizfLMBUvIVI4Wh0mx3dbAarFS0jA3VQPvj9SC0tSJqKlpYOuo7U5G53HtndiNTcjG4yI9dUYdq+Dam2Frmu9au2BmXnDnSrjci4CUTGjCV47vmGGM3JRUtJ7VsxaLWi5eXjefRJfD/9GY5nn8H22ivorli0+Hgio8eiO51gNqPLMo7nn0MpWoP64r/6zkbBMcc3ZQsYklBAWAvx/rZ3qfRUkLmPh/VwSY/J4NVNL+MwxzA1c3oPWioQGFi++BTXbTcTKRyLlpaGlp5Bv8mn6wZCsAoOSFANUuOrJseVe9jHLl6s8NlnJhYs8NLQIB2xhzUQgPvvt/LUU4fuOxoNnE6Q3Fb8kUasptbc0mbjg2HcuAML1lhrHEJnlnUAACAASURBVAA5rlz+vfZfzNn0FgNdeZw28EzOH3IRZvnAnovfTPwdgYj/kILV6dRpbpZYvVph4sSjJ3/1+XXPcemwK7njuLt4c8tr7GreSV5cfq/OubJqGfdMeQCA5056AU3XKKpdKwSroG/weLC9Owfbf/+Dsmsn4WkzUIcMxfreuxAOIYVCEAqhbNuKXF9niDanE5CQWppBltGt1nYPJYbQS0AKh9GSk1EHD0FLSycydjxacgpaSgpa7gBD8PYztIGD8Dz154OOCZ1yOkm33YQyaybO4SPR0jPw/eI3YO28urpA0B0WlX/HibknMznjeH654GeomtouJPhwyXBm8kLRX3n6hOdE2omge2gaUmMjcm1Nqwe1Grm2FrmmGtOmDZiK1tL88uuEp0yNtqU9ghCsggNS0rybLGd2t4oAfPedwqWXhomPB5tNp6pKQlW7X0vjH/+wMGKEyqxZ/TOkNSZGR663gQlsrYK1pQX+8hc/F1984Jzbs/PP5aGl93LmoLNZVbecG8bdwKTErq22jk4Zyy1jb+PZNc8cdJzTCatWKaSk6Acs/tTfaAjU88aWV/n60iUAjEoZzfradb0qWAORAJvrNzE2dXzbtjEpY1lbs1oUXxL0ClJDPeYVyzFtKEIp3oxl4QLCU6bh/X9/IDxjFpgO8NmrqkZFu31DcX0+o+9XzDHWt9FuR33zLaQPPiBSVonl04+Ivela/NffBGYz4cIxxoegQNBNHl56P39d+2feOfdDpmXNYFjicLxhL7mugd0+Z0ZMBkm2ZM7Lv7DnDBX84DCtWoFpzSrk5mYjmqalBbm6ElPROuS6WnSn06ghkJpmLD6mpqGlpBK4/CqC/3kN7IfX1aM/IwSroFN0XefzXZ8yKC6vW8fv2iUzc6Yh1Gw2SEvT2b1bIi+vvWDS9UNHKNTWSvztb2Y++cTXLVv6gpgYHVRjRX9P9d6WFomsLP2Az5wAeXH5lP20DotiIT7+dgDc7q5fZ6wlluYuFF0qKZG59NJwl88bbV7d9DJnDDq7LeSqMHk0G+rWc97g3vvnvq52LUMTCtrlGo1JGcfcrW/32pyCHzjhMJLfh+TzIbW0YF78HeZVK1CqypF27SKxvoHI+AlERo8ldPJpeO99CC3rwGkAbShKx9U/h6PzsccCioJ+wQUE3D4Cl16B6xe34njqcaRQCNPmjYRmzqb5X/89aK6t4NijJdRMrb/2oAuhLaFm/ln0dwDGpU0A4D+nv4YsyUfkGZ2VfQLjUif0//oIXXlIExw5uo7k9SA1NxuF6lYux/LJRyhVlYRmnYiWkICWkIiek4s+YyaeR54womIsx07bIyFYBZ2yqX4jDyy5h4uHXtqt43fvlhkwYK84HT5cY/Nmhby8vd7G+++3MneuiRdeCDB58oE9p2vWyIwdq3UQu/0JpxNQLZhkU5tHuqVFwuU6tM1H0mct1hLXpbY2wFHVf3Vz/SZm55zY9ntBwjDmbnun3RhdN65rz0PDN2VfE2+NZ3TK2G7NuWKf/NU9jEoZzZaGzYTVcP9/sBD0D3Qd04rlOO+/G9OaVeh2B7rdDg4H4fETCU+djmlkAXruANwJaQf2ogq6h8VCy/Mv7v09GCT2uquIuf9uvA893nPztOYLS8EgWoxTeHGPMsJqmAn/HUVLqIXRKWPIcubw2MynSHWk8srGl3hn61uE1TCecAvTs2bwt5P/idNs/I0V+cjbLu1phwNAKGR8DvRgrrjkaUGuroJQGCkcgmAQKRRCrqpEKdmNXFEBgFxbYwglv9/Iiff7kNp996M7YgzvXXIKkWHDiYwei7JrJ3J1FVJLM5LXayy6nXEW4UmTxWdaJ0juRpTdu1CKt2Aq3oJSvBmlrMy4f83NSJ4WsNrQXC601DQi4yfiv+GnhM48R9zPVsRdEHRKja+awuQxPDT9scM6Lhw2qvnu2iUxcODefMlhw1Q2b5Y56yzjd48HXnvNzD33BLn2WhtvveVn1KjO8yvLymSys/t37mVMjI4etmJt9a6CkcMaG9u7IttljT1kleA9ovloqhBc668lxZHa9nte/GC2u7cCtLWauWX+Dby7dQ5zz/uYaVkzeHrlE8RZ4/nPGf/r1pzLq5Zy4eCL221zmp1ku3LY0riZvLh8LLJFCNdjHVXFvHABpm3fI9fUINXXIakqcmUFUkMDSlUlWlwc/p/9gsB7n3Tq1bPFt3pDDyOaQtBNrFZa/voPEmZOIXDlNUaf14Oh61jnvo1cVooUDKLb7IRnzjIKVJWVYVq9EvPypcg1NcZ4m/GZ7/3V7UQKxxrjKsuRPR78l1+Nnnbg1mSC6PHO1rcYmjCMotq1+MI+hiQM4eQ5M3j+5Bd5ZNn9PHPc4yQHZKTmFkYEYkn8x0uYNq5H2bUDpaQELS4Oye83cskVBV2SwW5DzcxGUlVQIyhmM3pGOvFuQ9RpCQlo6RlERoxCdjdiWr8OZfs25KpK0HW0pGQjpDO1NcQzNQ11yFC05BSw29FtNnSrrV2euqSpmBcvwvLlPKTGBqPIms+HXFuLmpYGViu62QIWC7rFYhTfyR1IZNgwQEKbORvd6US3O8Bhb1tga1tos9kMQVtbi1xXh3nZEkwb1qMOGEBkVCF6bBy6zYZ5+VJi7v49SnkpoZNPI3z8NKS6WiSfF8nnRwoFUXMGoA4dipqVgzoo74cXFaLrSC3NyKWlmNeuRq4oR2puwrxsCcrWrWgDBxEZMgR12AgCl1+NmjsAPTbW+HLFCmF6CMTdEXRKfaCOIQlDSLQldfmYUAguu8xOfLxOS4tEWtpesTZsmMZnn+19uS1frjBypMpVV4VxuXSuuMLO/Pm+TisAl5VJ5OT0X+8qGIvrYb+NGH2vYPV4en/R3QgJPrhgjY+HxESNgoL+Lfr3pdZX016wxuWzq2knG+s2cOMX13DSgFPZ5t7KPcc/wI1fXMPjM//EmprVKLKCN+wlxnx4eXzFDVtYUbmUp2c/12Hf6JSxvLH5Vf65/u/cN/Vhbh172xFfn6Cfo2mYitaCLCNXV2FasRzTtq1InhaUbVvRUlIIT5iEnpqGOmAgKIrxIJicgpaYhJadI8Lo+hF6fAKh08/EsuBL/AcSrJEIyvZt2N56HcvnnxA69Qx0qxWlogzbzdejZWahDhiImj8E/09/hpaejp5o/H80LV2C/bVXsM15Ay0tHS0jE8nnI+HUWYSPn4budBmioPVLi08gdMrp6Eld///aDlVF8vvQY5xH9jrzejFtLTZaBUUiRnGuGCs0N2OrrUeKRJCrqozFGJ8XyeNB8nrQklMIHzeF8IxZRMZNOOpe65qu8dyaZ3g051aeLa3guDKNB19fzIyUOK5znwe6zhXn/BI9NQ09MREtIRE1fzCh2Sei5t+Elp2D5Haj2+1G5VVVRdJU8PlRykuNYmgmMy6rhFRdjRczekwMUmMjSnkZyqYN6K5Y/NfdhDpkCGruQNA0Y7FjT/Gcmhrk6iqsn32C5HYjBQMQCCAFA0iB9sUnIyMLCZ53gSFy4xPAZkXNGdBj4aK6yxBUWl4+keMmdzomPOsEfL+9E7m8DMtnn2D+9mu0zGz0mBi0uAQwm5BLSrB8txC5vAxl9y7UAQPx/+QG4/0SDLTO5SI0dcahxaymoezagdTSYojrmBjj/WWzIzfUI1eUI9fVGSHN+x+anAxWK3JJCXJ9HXJDPfh9SP6A0V+6ugo9JsZo55WWZrzP7HajUntrTqhcU4NcVYlcXWm8R6oqUaqr0GUFLTOTSOEY1AED0TKy8N59P+Gp04UgPULE3RN0Sp2/lmR7SpfH6zr85jc2FAU++cTE6adH2kW3DB+u8cwzezcUFSmMGWMIqPPOi/Dmm2ZWrVI44wwjZLilBZYsURg3TqO8XGbEiAMXLuoPDByokZxgocm390O2qyHBR4JNsaGhEVJDBwwtTk7WWbHC2+2CV9Gg1l9Dqn2vYHWYHSTZkzn//TO5Z8r9/GHR/wN0Liu4kuMzpvKTz67klAGnUVS3lmpvJXnxgwHwh/08seJRfjvpzoPO9/b3b3L1iGtJsnd8gByTMpYHl9xLsj2FlVXLe/Q6Bf0ATUOqr0eurkLZtRPLl19gmfc5elwcmExocfGEp88keO75aLGxaJnZqMOGR9tqwWESmnkCjr/+mcCVV6PHxbdtt73yEtZ33sJUtA4tNZVI4Rjc73x0WJ7RyJTjaZlyfIftpvXrUDZvMoSex4PkbUEuLcG8YjnOu39P6ORT8DzyRJvwbYffj2Xxt0ZxlfJy0FTMi79Dqao0yuZbregmM+rQoYaXy2RCtzsIHz+N8KwT0M1m5CY3ysYNOP7yJ5SKcnSLFT0+nsjIQqOS6Mb1qHmDiQwdClYbktuNbFYgNhaTxYauKOgJiYROOgU9xmmIAocDuboa89JFuG69ESkUIjJqNMEzzyYyYRJq/uD+1xM3EMCycAH2v/4ZucnN3KEasZnbOe+hh8i95mwSxozBd8ZQZus6po1XkmfNpGHz123e807Zr5elDuCKJbLv6ybegQ6E94mkOFglCS0zCy2z+5WH+wNaVjaB628icP1NBx8YiWBZ+BWWjz5A/vpLdJsdJEMIOn9/O577H0F3OJBaRTqBAHJ1OdKOHcTv2ImyaSN6XBxaQqIRvuxtXVDx+4xFw8xMwzO9/4OPriPXVCP5/aiD8tGSktCTktFtNrQYF5EJE43cUJ8XpaLCEKVuN1RVtoVIo2toqemGt3zMWLT0DLT0dLS0dHSnq/du7jGOEKyCTqn315NkS+7y+KeftlBcLDN3ro/nnrNw4YXtBebgwRolJTLBoNFtoKhI5pxz9o7JydHYvVvi009NvP++ifnzTQwfrlJdLRMfr5Od3b89rGYzDMi2sGaX8Q+urk5CUQ7+/64nkCQJhykGX9h70FxY11H0GapqKu5gI0n29q+/X064nbEp4xiTOo5XN/2H4sYtJNuTSXGksOEnRrjwrDeOxxfxtx3z1a4veWLFo/xm4h0H7eFa4SlnetbMTveNSR1PSAtx0+hbeGnDi52OOSrRdUwbijB/NR+5rs54MAj4kbxe5MoKUCNGmJgkoZSWIKsRiERICochoqLHxaEOHGS0WtE0QtNn4r/+p/03BFLXjbyu8nIsC78ywno3bUSurUFvzRtSs7IJzzoB922/Qsvr3RZKgr4ldPKpWOZ9RuL4UYROOhnfbb/GtHE9jr/8iZY/Pk1kwsR2QrYniBSOIVI4ptN9UpMbx+MPE3/eGYRmzkaprISQkWeo22yYitah5g4gMmESkREjQVPxX/9TtAED0B0xIMtI9fUoW79H8nmQIhEktxvLN1/j+NtfANCdTiIFw/DefT+h2ScihYLIlZUo27ehu1yG12c/L1x8a7i65xDh6qGzz8X7wKMoO7ZjWrkcy5fziHnqcaT6erT0dKRw2KhkrWmg64RnzML3y9+g5g/pgTt7aOTKCmyvvozlm68xrS8iMnw4vltuIzIwj8dWXccvCv9Ew33XMKDVO7xHSE5umUWCLaH3/3kf65hMhE46ldBJp3bYZfn4Q+z/fN7wVLeGQWOzwaABaKecijchhUjBcPTkrj+jdoejp0zlsYEQrIJOqfPXMj5tYpfGrlsHL71kZv58HzExcMcdoQ5jrFbIzdXYulVm1CiN9esV7rxz77isLJ2nnrKSmqpx3XVhHn44SFKSzlVX2fniCxO5uf0/nDUx1kLYbycYhDlzTJx9dqRPIqUcZge+iI94Enp/sj6gPlBPnCWuQzula0Ze1/bz8KSR+CK+DlUa7SYbgX0E67cl3wBQ568jdZ8Q4/2p8laSHpPR6b5RyYXIkswFQy7m+bXPUu2rJs3RT0VZZ+i68eX3Y3/lJczfLDBWjivL0WPjCZ5xFlpGJrrNeCjQY2JQ0zLAbDJCz8Jh1AEDiU2JB7OZJq9RIESqr0fZvQvdZkdSI1g/mEvCabMJT56C3NSE1NhAZNRofLf9Cm3goK7b6/Nh/eJTI1dqxXIj3NBsRktLJzxuAtBaTdHrbf3yIAWCoKlGuxdJQo+NQwoGkRrqkRsbkBoakBsbDA9TcjKhmScQvORyPONbV9NFz84fPjYbnj//De+9D2J763Xif3QuyAruuR+jFgzrc3P0uHi8D/+R8Kcfo+zeReS4KUZ+osWM5PWh/u4u1FEH7/+sJyURSWrv2Q1ecvmBx8fEoCYkoo4Y2SPXgCyjDh6COngIwcuuBIxWTXJdHbrJtLeadSSC7e03iT/rFNTMbLTcAQTPu4Dg+Rf1XDixpiFXVRrieckirHPfJnjehXhv/72xGNHq+drVtJPy1S2cNuHHnc59feFNB13cFPQ+obPOIXTWOR2271lMCYvc/2MSIVgFnXI4IcHLlkmcdFKkXc5qZ4wYobFmjcLQoRqVle2LMmVmajQ1Sdx3X5grr9y7rvXvf/vZvl0mM7N/e1gB7GYLVsVKcbHMa6+ZeeKJYJ/M6zA58IV/OB/g++evdsawxBHU+Ko7bLebHATUvfk9y8qXAVDtrexUsEa0CIqkUOWtJMOZ2WE/GIWX5v3oGwbEDiQ3diBlLSUHFazK98WYVq1AS89Aj41FS0hEG5SHVFNjFLVwxR702g6Ix4MUCqLHJ6Ds2oG8e/feao6BALqiGMU2WkP95MpKlF07kbwekGV0u4PQ7BMJ/Pg61OwctMws9MTErj8wtj4s6K0PC3psHNqgvW2vwtNmYLrsSpRtW9ETEtDi4rF8OY+E008gMnwkkeEjCJ17AZHhIzCvXI5cUmJUqywvRXa726olyjU1RMaNJzRtBoHHnjQeeMMRlNLdmNauMVbdY2LQEpOMMEWHw1iBl2VQZNAN75Vut6MnJBrjWvPQhDAV6IlJ+G/+OeqgfCLDR6DlDoieMZJE6Myzozd/L6AnJqF2EuLsu/33+G65zciZ3bkDx5OPYf7mawLX3YguycgtzUY/SVcsxDiMQkFghHDW1yGXlqJUVyJXVrTlDO75UqqqkHxetKQkwhOPIzzxOBq/WNjp33Zl9XImpU8+oCidljWjR++HQCDoGYRgFXRKnb+uyyHBq1dDYeGhPaBXXRXm9tttTJqkkpGhtyueuSfkt7CwfSVbi8XIfz0asChWYh12XnjBQiQiHbRVT0/iMMfgi3j7ZK6+oNZfQ4r94IL1/MEXdhoBYDPZ8O8j3hsDbrKc2VR6KyhM6Ria98CSP2CWzVR6K8k4gIcVjD6wAJnOLCo85UxIm9RxkK5je+UlYh57kNCMWcgNjUgtTcjV1UZ4XCiEFA6hxzgJnnUOgauuQd692/AA+rxocfHoCYnI5aUola0PY5WVyFXGA5oUCaNbrMhNbtT0DNShw9AdRhEI3WZHCofRY5xoSUkELrkCLTMTdVCeIZDDYSSvFz2l63np3SEyboJRhGXP75Mm4//Z/2FauQLTxg3EXv9jJK+X8ISJqAMHGSGPowrREhKMwh6xcWjxCZ2GFUeOm0zwokt61X7BsUPotDOibcKxR0wMkbHjiYwdT+jEk3E8+RiuW28EWUGPjUWuqkTytCD5fEa0RCtafAJaTi5aRiZqejpaeiaRESON3MGMTKMwjiu2S4tvyyuXdv75LRAI+jVCsAo6pdpbddAQyn1Zs0bi4osPLc5mzlQZOFDjoYes7byrAFlZGmazflRVst0fq2Ij0WVlzhyjXU9fFU78YXpYDy6sMpyZnXpE9/ewNgebGJIwlCpvVafnWVzxHRvqitB0jVhLXIf9Um0t5rWrMK1dg6loLQOHbKW26B84TMWG2BoxCsdf/4x5xTLk6ioiw4bj/vAL1MH75GnpOnJZKVpSMthsyCW7sc15g9hrr0IdlI+am4vucGBatdIQrpnZaBkZhKbNaKs4qmVkGPl1kmTkhB1uUROzGT1KLQR0VyzhE04ifMJJ+G+82bC/tdKiQCA4NtHj4vE++Bh9udT63tZ3+GjHB7x//qd9OKtAIOgJhGAVdCAQCVDrryHblXPIsboOxcVG25qucM89QU46KYaf/KR9nmt2ts7HH/uO6og9q2IhNcnKNpPOJZf0Xbq+kcP6Q/Kw1h7Sw3ogbCZbO/HeHGpmaEIB35YtZGHZAgbGDuKe4+8HwB/xs7WxmHPyzuf97e+2y4eVamuxvf4qjmefJjJ2HJGx4wlccgUZde9S6q2C5iC2N19H2fY9/mtvwPfr36FmZnVeil+S0HJy237VBg7C99s78f324JWLD0h/q8B5OBzNb3CBQHDU0Fl7syWVi/jl+N8wJGFolKwSCATdRQhWQQd2Ne8kx5XboeiNxwNNTRJZWXvzSauqICam6/1GCws1rr46xNix7T2ykgRjxx693lUwQoKT46wsX+49ZD5vT+IwxeD9wXlYuydY7SZ7m4dV0zU8IQ/jUifw+PKHmZE9m2WVS9rGFtWuY2jCMF449d885H8cAKmxAdsbr+F46nHCM2bROG9hu4JBaVvDrNzxIb7T/nAEVygQCASCnmZx+Xcsr1qKWbZw/5K7WX7lOgbG7f383tKwmbPyzo2ihQKBoLsIwSrowHb3NvJb+1juy9tvm5k/38Srr+6twrpzJww6jAKgAE89Feysl/NRj0WxYFPsfd6Cx2F24Av/kDysNQxNKOjWsXaTva1KsCfkwWF2cNHQS7ho6CWUNO/mvPeMvDXJ08Ka4i+YYB+CeeNGBn63EMvnn2Jat5bw9Bm4P/uqfVhvK5nObMo9Zd2/OIFAIBD0OGE1zK3zb+TMvLMJqkGcZhfr64raBOu/N/yTJRWLKEgUPZQFgqMRIVgFHdjRtJ1BcR17EO7aJbNuXftwxO3bJfLyDl+g9VV+Z19ila1YTX0f8hhjduKL/NA8rN0rDmRT7PhbBWtTsIk4axyoKsrOHeTu3kZNSwUxl52Pfeky1l+scWZZDLGlawkfNwX/zT8nNGNW52G9rWS1Fl0SCAT9B3/Yj80k+mYey3xVOp9sVw6PzHgCgGR7MpvqN3BO/nksLv+OB5fcC0BqN9NNBAJBdBGCVdCBtTWrOXXA6R22l5RIVFfLVFVJpKcbInXnTsjL6zD0mGRwwhDibD3beL4rHLVFl3Qdy1fzwOtFT0o2EqI1jdqWii63VNofm8lGIORFLi2heeMXxLr9JEydgKSqqAPzSJptp/iiU8j+1/9Y9u4UfnXXuzQmdL2RfZojnTp/LREt0iFkXiAQ9C07mrbzk0+vwG6x88RJTzA6TlR/PVZZUDKf0wed1fb7iKRRvPP9W4TUEHd882uePfHvnJl3dofe3QKB4OhAPHEJ2qHpGovKv+GBqY902Ld7t4zFojN6tJMvv/RSWKixbp3EJZf8AON7u8E5+edHZd6jreiSXLIb07q12N6dg/L9FtShw5Aa6o1iQrpO/dQtDLrjDzgTBhEpHEPwzHPQ09KQamqQW5ran0zVkJrcyI0NmFavJHH3/6jxVhG/7nU2T84gdmwMLc+9QGTicSBJBP6Vy/jaO3m7cSRNoSby4jtGEhwMs2ImyZ5MlbeyS0XJBAJB77GwdAFbGjYDsKximRCsxzDfli3k+VNebPv9+Mzp3Lf4bi764ByyXTmclXeOEKsCwVGMEKyCdmyu30ScNZ4sV3aHfSUlMl9/7WXpUhM33WRn3jwvS5fCM88IwRpNHOYY6v110TajPeEw5qWL0W02sFqRmpqwfvAe5sXfIjU1ERk3nvBxx9P8/Itgax/K1/j3FGLOvZJIowfzsiU4nnsG3RWLXFGGtn9DellGj4tDS0hEzctHPvNCGmI8NJz4FxrrFxK34lkikya3Dc9xDUAHbp1/I2NTxh2wefzByHJmUe4pF4JVIIgyi8q/JcmWhC/iY1XlKm4U6YnHJO5AI5XeSka19ssGSHWk8vnFX/PAknu4feLvhVgVCI5yhGAVtOO78oVMz5rVYXtxsYzZrJOfrzN4cJgVKxSuucaO1Qo5OeB2R8FYAWCEBJf2h6JLqoqyeRPmFcuwzXkDAgFQFKMBvM1G6JTTaHn+RSKjRh+wNYuqqYT0MMr5lxGQJALX3Yjli0/R4hOJTJhonO8gWDb/l0DlYgCagy24LLHt9s/70UJCaojjXxvPhLSJ3brMTGc2FaLwkkAQNRoC9dy3+G5WV6/klTPfoIVGfjf/dnRdF8LkGGRLw2YKEod1WIBMdaTy3EkvRMkqgUDQkwjBKmjHovJvuWDIxR22P/GEhVtuCbcVS3rkkQB33GHjuuuEdzXaxJhj+qTokuRpQd61C/Pa1ch1tUgtLUielrbv5pUr0OLjCU+ajP+a6whefOlBBWZYDaOjY1Esbdt8ES92k6PdQ2fo1DO6bKPdZMcfNoouNQebiLPFtdsvSzI2k41Xznyj28U3Mls9rAKBIDqcN/cMpmfP5JvLluK0uIiLs3PXgjtZV7uGsanjo23eD4ZdTTt5ds3TTMuawUm5p/DAknuZnXMCUzKmdbswXm+wuWETwxNHRNsMgUDQiwjB2gusq1nDnO/fIBAJ8uTsZ6JtTpdRNZUllYt5cvZf2m1fv15m6VKFP/850LYtJgaeey5AfPyBK6oK+oZDFl0KBJAb6pHrapFrqpFqa1EH5YPFjNTUhFJWilxWgmnzZpRdO5D8fsM7CmiZmRCOoJSXIgWDqDm5RArHoGVmocXGomdmobtc6K5YPPc9jJbXtZzQpZVLOHfuaVw+7Cr+fOLf2rZ31uz9cLCZ7ARUQ7BWtFSQZE/qdFzhPqFjh0uWM4vS5pJuHy8QCLpPpaeCOn8tj0x/om1hS5IkLh95BW8Vvy4Eaw/hCXu48uMfceKAU3h+7XPc9e3vcJhj+O+ml7hr8r38YsJvombbiqplfLBtLvdNfRhFVtjSsIlhol2NQPCDRgjWXuDJlY9hUax8uP09npj1dDtvUUSLkPn3RLbfUNYhXLGvCAbhvfdMXHpppN329XXrSHekozal8eUSmRNPVJEk+OMfrfziFyFiuq8jBL2IX0IfqgAAIABJREFUyxJLS6h57wZdR9m2FfOKZSjfF2N783/oJjNaSip6SgpaYhLKiy+AIqM7Xag5uWjZOQTPv5BIwXB0u93IK1VV5JpqMJlQM7PRk5O73Y9oR9N2nl/7HE/MeppXNr7EY8sf4pqR13cIrfWFvThM3V8EsZvs+COG2J6/cx73zPhDt891ILKc2SytWNLj5xUIBIdmZfVyJqRN6hD6e8WoK5n58nTun/oIZsWMN+xld/MuRiSNjJKlRze//+Y3jE+byIPTHkXTNT7d+TFTM6exuGIRL2/8V58K1o93fEiuK5cvS+bx7tY5tIRaiLXE8sTKR7lj0l0sr1zGRUMu7TN7BAJB3yMEaw/TGGhgccUi1v54E1/unocn3D6Pbn3tOsDoNRktwfrnP1t48kkrZ5zRQmysIWAtFvi2/BumZ8/klltsrFmj8N//+nE4dNavl/nnP8NRsVXQSihk/JE6IUGz0VRfivW9dzCtWY1tzuvoZgvhaTNQhxbgnvMB6qjCbk2r5eQeidVtvLnlf7y88V9cX3gTjy9/mI8u+BxP2MMvvvpZu3GGh9XZ7XlsJjvNQTdvFb/OprpNzMydhd+jHqn57ch0ZokcVoEgSiws/ZpJ6ZM7bB+cOJhBcfksKJ3PqQPP4I0tr/LKxpdYeNnSKFjZs6ytWc1NX1zLm+fMZVDc4feRq/fXd4g2eXfrHJ5c8Ri/nXQn5w2+sF3+5ytFL7O2ZjWfX/w1YKRSnJV3DgDTMqdz25c38+CSezk771zGpU3o/oV1AV3XufazK0mwJnDe4Av546xnOC59MlXeSq759AqKatZS6S3vdk0CgUBwdCAEaw/z8Y4PmZV9Ai5LLCmOFGr9te2E6ZLWgjB1/nry4ge3O9YX9vHh9ve4dNgVvWrj3Llm7HadDRsUpk5V+dnPbAwdqrG0YD4nxfyML0plbr45xP33W6mtlbj99tD+hVwFPY2ug9dr5HyGwyjbtmKZ9zmWBfMxFW9BaqgnPOsEQtNmYF66GLm62sgjbW4mzxnCfY2E9bv3ieQPpvGjeV0Oze0rqr3VAGyp38RxGVPIix9Mra+WSm/7XFBv2IvD3H0Pa6wllrW1a5hT/AZzLnobq8mKn57N781yZoscVoEgCmx3b+XD7XP55vLlne7/0dDLmFP8Jg2BBu789rcA1Ppq+1W+5eHiDXu54fNryHRm8ftvfsMD0x6lIHFYl4/3hD1M/t9Y3jn3A8akjmvb/vnOT5ieNZO/r3uO1zb/l1fPegurYmVj7UZ+/+UdvHPuR52mZ8TbEnj/gk/5aPt7XP7xRcw594MjSrE4FPWBehKsCRRfv7vd9kxnFh9e8Dl3f/d78uLzUeSDF+QTCARHN0Kw9jDvbp3DtaNuBCDZnkKtr5a8uL3iYY+HtSFQ3+HYP638I8+ueZozBp1FrDWuw/4jZWnlEp5Z/jSVlZ9w8cVh1q+XmTJF5ZtvTHy1uBF+tQbXstP46U9DTJmi8sorZv7xjwDTp/esh0oAeL2YijcjN9RjXrYU69y3kaurQNNIjkTQsrIJnn4m/htvITJ+AlpCIvaX/4WycweBK69By8pCS05Bj4sDgtS/OY7mf70S7as6IFW+SgC2ubcyOH4IAEn2JDwhD/6IH7vJDhhFl44kh3V44gjW/2QraY60XsuvTrGn4g42ElSD1PpqyHRmdas9jkAg6DqqpnLR++dy39SHSXOkdTrmvMEX8OiyB1hY9hUjkkaRaEtkccW3nDf4wj62tud4ZeNLjE4ZyxOznuGplY9x2UcX8sXFC0lxpHSpKvIbm1+lOdTE6ppVjEkdx7xdn1HSUsK35d/w+cULyIzJ4tb5N3DqnFnMPf9jrvjgch458VGGJx24iFFh8mgKk0djNzn4V9ELDE0cxic7PuTd8z5qV0SvJyhvKSXT2bHNHoDNZDuq6oQIBILuIwRrD1LlrWR9XREnDzgVgBRHKrW+mnZjGgL1pNhTO/TN3Fy/if9tfplhiSNYVb2SE3JP6lHbKj0V3Pj5NbgDzYwarjFrlsrvfmdl5UqFpCSdYO4iXPJEli9y8ddnvDidUFTkxWzuUTN+2KiqEV/t6EQoaRpyeRnK9m2YNm3E/uLf0RKT0JOTiQwbQdNL/8M1fTJIEm535x5B/023drrdpev4Iz7Cahiz0r/+YHd+e/v/Z+++w5sq3waOf9O0Tbqb7jLK7mGUvUE2CCgbZDoQt+JEUUR/4sI98HUvULYiyFQ2qMje87B3F110N03y/pG2dg9I27Tcn+vywp7xnCc3fUrv8ywikiPYE7EbgEPXDnJHvUGAdZiZm5MbE/8Yz7CGIxnX5O6bHhKs0WiK/GXWVrQOWgJdgwhPukqH+S2ZPWB+znA5IUT5OHLtEO7O7oxrcneR1xj0PrzedSb7o/byXveP+frg5/xzpeomrCaziR8Of8M3t/+Ir4svM7t9gLuTB4+sv59+dQYw79gc/h63CweNA3FpsXx98HMmNX+EQNdAwpOucufSfqSZUpnY7AEORu0nPi2Ot3e+gRp7nFYBrantYZ3y8XW/H7ljaV/GrxpFq8BW3NdiIgkJqSXW7+6mE+k0vzVO59fQ1K85Xx/8nKfaPAeA2WK2yYs8657XhSesQohbhySsNrT89FIG1L0jp7fI3yWAa6nRea6JS4ulkSGUmFw9rJnmTKb+9SxTO0znatIVdkXssGnCmpaZxqS19zAp7CE+2PU+TVokMmSIlrAwE3/84Ui/fpl8vfsS5w424KF7jLhn5QuSrJaeJikRz/F34XRgH5ktW2NxcgKNA+bgYLRnz+B49DBmL29MDRthatiI619+T2anzvkKubEFjTQaDV7OXiRkJODn4meDT2MbcWmxLDqxgM96f8n4xnfzwtZn2ROxiydbP5NzTYbZSFRKFG/tmMGo0DHWIcE3sehSRbHOY7UOC9ZqZCiaEOVt6+XNdK/Vs8TrxjaewNjGEwDoWrM7Px39sZxrZnsWi4XD1w5yOfEy/q7+tA1sn3PuxQ7TGbd6JItOzMNoNrIvcg813GsyZuVwPJw92RO5h18GLeOJjQ8ztvEEJrd+hjPxp+i3pAfLzyyjR61eDG4wlP5178gpU6PR0K1mDz7d9yELRi4s9V62fi5+jGg0iprutRjWaCT9l/SkoXcoH+x+h4uJF/i8zzcMqHvHTe2NezXpMjXca97w/UKI6kESVhtadmoJUztMz/na38WP6NR8PazpcTT3b5XTw2qxWBi5YjDeOm/uazaJ1WdX8OvJxTat18PrJlLXsx5Pt53Cx3/PpkWnKCCY+vUtPPGEdTGlny5eInlnbe58ILP4wgRYLGiuJ6CJj0eTlITzlk3oF83D2LEL1+ctxvHAfut1mZloI8JJG3c3mS1aYvEov0W2vPUG4tPi7CphPR1/ilBDKIMbDAPAsPNNjsYczhkSDHB44kncHN0Y8vsANlxcd9Pb2lSUmu41ORpzGACdVlfJtRGieglPusq+qL3sj9xLSmYy4xrfzdcHP2feHb+UqZxmvmHEpcUSnnSVYPca5VRb2/n3yj88uelRmvk1589zq2nkHcqU9i/muUbroM2Jw0d73mXWvo84FnOUSWEPM6n5QzSfE8rr218l05zJlHYvonXQ0ty/JQfvU/F38S+y13NgvTu5mHiB+oayLer0XvePcxLSR1o8wcQ/x/NZ76+o7RHCtL+f5/1dM3m81ZOMaHRXsfNMr6cn8MzmyXx7+2wcHay/mkamRLLizO/0rdO/THUSQlQ/krDayLmEs1xMvJjnDXAdz3r8durXPPNMrD2sjTh67QhgXaI/IjmcZUNX46BxINTQmFNxqk3rtjN8O/+O34cxwwFjvD8NWkQAwXkv8rqMi7EnYWFmmz67XFgs6Of8gP6XBTiEh2MODiZ94CA0GRlorl9Hk3gdU5OmpI0eh8XbkPdesxmHixfQRoRb/zx9ClO9+piahaGJjcUhKhKHqCi0F87jEH4FHJ1Aq8Xh6hUwm3CIjsYhOgqLkzMWgwGLToex820kvT4TY68+oNFg7N4z53EVtbayt85AXHpsBT2tdE7HnaKhd2jO1wa9AR+9Dwa9T84x96zhv+Ma383CE/NoH9QR1yqQsNZwr8Wu8J0ApJvSK7k2QlQPGaYMvj74BV8emEXbwPa4Orqx6dIGVp5ZznvdP6ZNGVeCddA40KVGN/658hd3KWPLqda2sS9yDw+uu5eZt33AlK1P463zJtGYyOD6wwpcmz1P9IlWT/PYhgeZ2v7lnMUaRzQaxZZLG1lw55I8CWJJUyVaB7bl634/lLneuXtPn2j9NG0C29Gjdi8Ato7ZwcaL63hn51tcTLzAlHYvFlUMO8O3s+rscjZeXE//ugPJMGXwyt8vEuAayPBGI8tcLyFE9SIJq438fuo3BjcYmvNmEGBk6Gi+PfQVi9UFjG08AaPJSIoxmbqe9fnr0hYANlxYy7BcS8rX86rPlcTLpJvSbdJzYzQZSTQmYtAb+GWxI56Ovhid/ps/a7FYrL9we15m5O2BaO18dKMmOhr3GdNxPHKYpLffw1SnLo4H9uO0ZxcWFz3mwCAsDRritH0bPh+8S2bL1pgDAzF7eeF4+hSO+/dhcXfHXKMmpho1MYUqOG/agOPXX2D288fs7485IBBTo0Zk9OkHRiOaTCPm4BpYtFrMAYGY/QMKn6daiQw6aw+rPTkVf5JGhv8SVm+dgQa5eldzG9JgGK/9Ox1/F3+C3IILvcae1HSvyW+nrL0c6aa0Sq6NENXDZ/s+5q/LW/hj5Kac7Vte2zadUIOSM1KjrLrW7MbGi+sZFTrmpoamlqfI5AjuXjOGT3p9Qf+6Awlyr4G/ix8xqbHFrkvgqfNi/p2/5jn2fo9Pyru6RXLWOuckq2BNZvvW6U9D71AG/NaLYQ1HFPlvwPbwfwk1KMza+xGbLq5n+emlNPNtzk8DF+Du7FFRH0EIYackYbWR5WeW8W63D/Mcc9Y681mfrxizchg9avVC6+CIt84bPxc/YtKsSWNCegINcm1v46x1ppZHbc7Gnyl2lb7Sik2LwVtnwGJ24NNPdTR/yoeFx+fTOqAtBr0Pc4/NYbG6gDhTLI+MLd/FakqUmYnTrh1ojx/DITICh9hYTCEhmOrWw/HsGZzX/YlWPUH6XWOIW72e7Mm2GbVDyBg8NE9RafdNQhMTg9OBvWiio3GIjyO1ey+MbdphCQiojE9Xrrz1BuLS7SthPZ9wjqENh+d8bdAbcHcufEEld2cP7qg3iLnH5jCjy9sVVcUbVsO9FhHJ1pWPpYdVCNvYeHEd0zvNyLPX6Otdb+7nwZ31B/Pdoa+YffR7JmWt4G9vfjr6I4PqD6F/3YEAdAq2rm/QwLsya2U7db3q8UL7aTy/5RmWDVtd4Pwf51az6MR85gxYwLu73sRisbDhrr+p5VG7EmorhLBHkrDagMVi4Uz8qTx7nGVr7teCSWEP89yWJ5nR5W0Meh98XfyISbMO30w2JuPulPftYSODwqk4tUwJa7opnZf+msLjrZ76r1fLbObfbefxdvDl92Va/HxNNAx2Z/bxH+lTpx9jG09g3rE5qHEn0KChZkUtbGAy4T7teRwP7sdcKwRSknE8cxqHq1cwNVIwtu+AOSiYzCZN0V66iNPePZhq1yb5hWkYu9wGutL1PFt8fcnoc3s5fxj7YI89rNGpUQTkGoYWalCKHe47KewhFp6Yh9GUURHVuynZq1Y29Q2ThFWUm+iUaHxdfG+JbZPi0+JQY1XaB3W0ablBbsG83nUm3x78ssIT1mup17iceJGW/q2L7N1NzLjOT0d/ZOnQVRVat4o2ocl9vLvrbSKTIwh0C8o5Pv3vqWy4uI4f+8+lQ3DHah8HIcSNkYTVBuLT49Bp9TmrA+f3dJspDFrWj26LOhDoGoSv3jdn0aUkY1KBXifF0JiTZZjHqomPY/uqD9h6bQlrDy7k7QN+tN8eyoz451hTT0tAN/i/n87xkcMLfPjHOqgLB3YtoYVPc6JSovh96Bo8r6fiu3SFdchrjZqY6jcAZ2cwmawLDCUkYA4IvOmhsJr4ONzefgPHE8dIeus9tOfPYfH0wlS/AaaQOqVORkVe9tjDGpUSib/Lf73Zj7R8otjrWwa05p1uH9C1ZvfyrtpNa+7Xkh0T9vPdoa9Iz5QhwaJ8jF89ilGho0tsO9XB/qh9tPBvWS6LmHWt2Y1H1z9QoYu6WSwWntz4CHsjd1PLI4T7mk1iZKO7Cgxv/erA5/QO6Yvi07hC6lVZ9I56Bta7k0/2fsA73T5Eo9GQbkpn/vG5HLj3GN56Q8mFCCFuWWVOWBVFGQLMV1W12EkFiqKEAbOAjkAs8AXwvqqqlhupqD2LTIkkKNcbw/yctE6sHrGBF/+awo6r2/Bw9sRoyiAtM41kY5L1H9DMTLTnz+Fw6SKhrv6sj9uVt5DUVLTnz2Fq8l+vq/akittbM3Da9je/3ufG5JoDqae7g4eafki6IYApjdrSLHQt7y5rRXBbhTZrFvPqqa10+fsbVlzZhOfz3Zio1dP7qwdxiI7G2LM3moQEHK5cwiEhAYtejyYlGUxmLJ6eOFyLJjOsBYnvfYwprHmZYuR4YB/6BXPRrVhG+h2DSfhhLpaAADLb2/Zt+q3KoDNwJuF0ZVcDgAXH55JpziQ6JZoA17INv36g+SPlVCvb0mg01PdqgE6rJ016WEU5SDYmcyL2GP+3/1O61OxGc78WlV2lMtsdsZO0zDS61epR4FxqZmrOS96VZ37n56Ozy+0zuju509inMYejD9KpRpcy3Xsi9jj/XN7K3U0nonfUYzKbil3tFqz7py499SuXEy9xeOIptl/dxk9Hf+TtHTMY0mAEQxoOY8ulTaw7/weRKZGsHL72Zj5elfFGl5kM/X0g/7f/E55q8xz7o/bRyBAqyaoQokRlSlgVRekCzAOKXblAUZQAYANwBBgNtAHeBkzAh8XcWiVFJIcT6Fp0wgrg6ODIRz1nYbaY0Wg0+Lj4En9yPylXzxG06BX8/j6HOTAIU0gd2kXt4+tBZty2vwoWC2Qacdr+L9rz59CYTGA2QWYmFjd3UqZMZe6LQ/hn57uYDn3FB2t9efjhEUQOmsq8q11pb+lIgGsAb72VjkYDTUN70LBBZ778SeFHf0fW91nGdaMn5qAgLJ5eOfXVnj4FRiMWvR5zvaz5RBkZ6JcsxnvIACwGA2Y/P/hxNg4/z8F70xYsnp5YvA1kdO5C2r2T0MTFoY24im7xAvTLl5HyyOPEr9mAqX7DIqIkbpS33kBcpH30sL6943WiU6PQaXV4OJffVj72QKd1JkMSVlEODkbtJ8yvOQ82f5SxK0dwe90BzOjyFl66qjGx8WrSFe5ePRoHjQO/DFmek4xGJIezL3IvE/8czzf9fsTXxY+X/nqe6NSocl3Jt5lvC45cO1TmhPX/9n3C6rMrcNbqiEm9xmf7P+HzPt9wZ/3BBa5NSI9nzpEfmHP0BywWC9/cPhudVkfP2r3pWbs3EcnhLDg+l9f/fZXbanbnxQ7T2R2xi8Y+TWz1Me2at97A4sHLGLT0dswWMxmmDDrX6FrZ1RJCVAGlSlgVRdEBTwNvAsmAcwm3PJFV9hBVVVOANVllTFMUZZaqqhW120eFiEyOyDNXrzjahATcZrxCgE80GXMmkDwoA+2ol7j23aSc4bb+cVGcWtQUo4sXWgfrtiopz75ARv+BaNLTsGgdQasFrZYziWd5dlF/HBeuofFwT97dnoy3txb4iD/OreaZTY/zxLinadvmv+1qnLXOjGtyD3sidlGvXntMhdTT1LCQlfycnUkbfw/pg4eiiYvDef1a3Du2x9K3L0kz30eTnIxDbAz6Xxbi/sb/sLi6YqpRi8z2HYj9eycWH98biK4oDYPOQFxa5W9rk5hxnWRjMu2DOhKRHG63q3Laik6rl1WCRbnYE7mbtoHtGRk6mgDXQOYem81Tmx5nzoD5VaJdvb9rJvc0vZ+6XvV4auNjrByxFncnd348/B1fHvgMgI/2vIefiz8PNH+YrZc323z+am5hfs1ZdnoJvUP6Ut+7dC9NzRYzWy5t4qWOrzDt7+dpG9ied7t9yIe73y00YX1rx+tcTbrMzwMX0ty/ZYHzQW7BPNduKs+1m5pz7EZXP66qgtyC+X3YGsavHsX5hHMyZ1UIUSql7WEdCEwDXgB8gSklXN8X2JiVrGb7HXgFaA/8W8Z62rXIlMg8iwgUxXH/XjyeeBhjj154K204O3EaiVufQdf7zjxzQ90MAfi6BXJy6EjqetXLU4bFKe8S9/csmoL27/+x7MumNGuWd7GagfXupOOEfTgXMifoxQ7TScxILMvH/K8OHp5YPDxJe+Bh9E88CjodmQmpOefTR9yFJjoai58fVIFfrKoDg96HeDuYw3ow+gDN/MJoHdCGPRG7Sr6hitNp9SSkJ1R2NUQ1tDdyN8MajgCgW60edAjuxNBlA/jftmm0DWzPsBL2pvxg9zscuXaY8U3uyVl9tqKciD3Ougt/smP8PjycPTkYfYBei7vQvVZPNl/ciEajYVLYQ7zb/aOce3InceWhdUAbpv71LHcu7ce73T9iQL07eXP7/xjX+B6a+YUVes+Sk4vx0fvwQNgj+LsEMLThCDRomPHvdC4lXqS2RwhgHQL86raX+OPcKpYOWUWoj1Kun6Wqq+VRmw96zOLdnW/SNrB9ZVdHCFEFlDZh3Q3UU1U1XlGUGaW4PhTYku/Y2Vznqk3CGpMaw4rTSxlTZziahHgsTs7g7Iz21Ekcwq/gtHsX2nNnrPNTIyJIfvl/pI8eh8+6icSkxZBkTMTNqeBWHw0NjTgVpxLiUY+kJPAsZGRlQno8Z9L3sHLKrzRrZi54AeCjL7xXU6fVoXOxweIWen2hhy3+/jdftig1b72BODtYJfhA1H5a+bempX9rriRdqezqlDu9o056WIXNWSwW9kbu5s2u7+Qc02l1fN//Z8auGsGvJxdRz6t+npXpz8Sfoq5nfbQOWowmI98d+oop7V7k+S1P0+++/hW20rDFYmHGv9N5us1zeOqs00ze7/4xeyJ3cSj6IAGugWjQlGtvamFaBrTmzIOXOZ9wjvv/vJvVZ1fw++mlnIg9wZIhy0kxpqDT6nLmp265tIkZ/77C0qGrcNI6MTJ0dE5ZA+sN4reTv/BM2+cBmH/8ZxadWICPi2+evadF0ToGdyp0ixshhChMqRJWVVXL+punJ5C/+y4x17ky8fa+uZVp83N0dLBZuZbwszw++wr3nP0QF9PHkJFh/S8kBEvduljad8AyeDCE1MbcvgMuej0uQA2vYFI1iSQbk6nlH4CLU94VhpsHhXEp7Rzff+/GwoUaPvzQzLvvOrB2rRmHrN87lu9dhebSbfTubsCxktZ7tmUsb3U3E8u6upokZMSX+t4t5zfz7f5vWTB8YZmfVZyjcQcZFDqYMU3HcFfLEXjrK+/7oiK+N73dPSDRfEt8/0tbt52SYnkh4QIaDTSv3TjP8F9vb4Ujjx3l052f8LP6Az+E/ghAYnoiA3/sw5cDvybUN5T5h+cS6hvKiz1eYPHJBRxN3Ee3kPJffdv3QwNtg9uSnJnMM12fQuf430vRfoZe9Gvcq1yeW9rvTW9cqR0QxGL3xXSe3YkHWj3I4mOLWH91Nc+ue5oWgS1YPnolR6IP88TGh/hl5C90CmlboJynujxJr597MPf4bBwdHEkxprDlvq3UcK+BwbViViEuL9LObUdiaVsST9upirEsrzRHAxS1GnDhXYFV1JnkMOY6RzApEjLLcJ+vqy9Xk66Sac5E71iwl1LxVfjn3G42fKoho/tLjJ/ZCuP+sSxZomH0aAvxafFM2/w89a99W2nJqrAfXjovrqdfL9UKlgDHrx1n+2XbD3TYG76H17rPwNHBEW991Vgc5mboHPWkybY2wsZ2XtlJh5odi5yrOrrpGGZue5s5B2djNBnZfGEzmeZMnvjjMdyd3RkSOpRv7vwOgHFh45h3eJ7NE9bFRxdT27MWx68dp3udHhj0BhIzEhnV5C5GNh6VJ1m1N22C2tIioCUjm4zkUNRBXt0ynQXDF/L6XzP4eu9XfLzzIz4f8CW3hXQr9P5Wga1YPXYNwR41MFvM+Oh9MLjISrdCCFFeyivVSQDyb3vjketcmcTHp5R8URlkv1GwRbkGg4bDR92Ii0sq03RNN40Xh6KO4ObkTkKu+Z/ZwrzaMO3oB4wYlIHa5iCp0VHMeG4oDz+sp2XLVLZfX4lPRis6+PSzeXzKwpaxvNXdbCw9nD24GBWOQe9T4rWno89xJfEK5yIul+r60ohJjSEmNZYAbS27+H6oiO9Nc7qGxNRku/i85U3auu2UFMu/z/5DS582RZ53xZsZnd9mw+lN6LQ66rk3ZMngFdy1chgrhq6lpketnPKH1LmL2/5tz6vt3yywB+iNOh5zjCf/tO4N29Q3jI+3f8yMLm/RLrADo+vfAxkQn1Fx3yc38r25evgGdFod3/b5CS+9N+5O7kxr/xqjVgxlWMMR9ArqX2x5TT2yhmNrgHSIT68e7ULaue1ILG1L4mk79hpLf/+i/40qr0ktp4D6+Y5lf62W0zMrha+vBWdnC5GR/2WrV65oOHzYAXMxfcl+ej8uJp7HvZD5qwCuic1ISsvgroePk6qNIsN/N127mrjvPiOTJ+tZd3YjV/8awL33VqsFl8VN8NYZiMu18JLFYuG1bdMZ+vtARi4fjMXy36CHq1nzS4/HHLPZ8w9G76Olf6sKmytnD5y1OrZe2szSU79WdlVENbI/ah+tAwoORc1tfJN7+LzPN3zU8zNeaD+NNoHtODLxVE6ymi3QNZAuNW5j2enfiizriQ0Ps/78nyXWKz4tjte2TWf48jt467b3OPnARX4ftoZONbrw1KbHqtT2LLqsxQhretTK+Xe4XVAH9t17hHe6V7vd94QQokorr98sNwLi/TCeAAAgAElEQVR9FUXJPZljGBADHCinZ1YaRTFz4oQDiYnw5pvO9O7txkMPudC/f9Fjw31cfLl4/QJuTgXnu5w9q2HUKDfaePblUMp6olOiOBl3giRjEs89l0Fysobl+3ZzW+2utGpVrUZYi5tg0BuIz7Xw0id7P+Cvy1sY1/hu/r6ylYPR+3POXU2+QuuANixS59vs+Qei9tPSv3XJF1YjOq2O6xkJrDj9e2VXRVQjF66fp0Ept17JzcXRpdDjdze5l/nHfir0XFJGIstPL+X93e/keamVm9Fk5PtDX9NlYTuSjElsHbuT0cq4nPNv3/Y+tT1CCPNvUeY62xsfvW+RcRRCCFE5bJKwKorSQFGUTrkOfYl1r9Y1iqIMUhRlOtZtcd5VVTWj0EKqsLZtTXzwgY7Ond24ds2BrVuT2b49mStXNFy+XPg4YV+9HzFpMfi45F3F12iEe+5x4bHHMni0b282XdzAtdRomvg241DUARwd4aefkzF7XuD1Z2pWxMcTVYS3zpCztc3KM7+z8MQ8Fg1eytjGE3i6zRRWnVmRc+2VpCt82PMzNl/cyInY44WWdyXxMgej9hd6rjAHovbRKuDWSliz559fTLxQyTURleVYzFE+3z+LYzFHi0z4yiLdlE5sWgyBriVvlVZavUL6Ep4czv7IvXmOn084x6qzK+gY3JmE9Hj2Re3Jc95isbD2/B90X9yRtef/YMmQFXzUcxaB+fYd1zvqWT1iA/c1nWSzOgshhBDZbNXD+iqwPfsLVVXDse7F6ggsAR4GpquqWi3H2bzwQgY9emSyYEEqs2alERRkQaOB9u1N7N5d+AI42YlqE5+meY7/9psjgYEWJk0y0r1WT/658hc6Rz2dg7uwL8r6y4bZNQpvFzfq1aw6q3uJ8mfItbXNroid3B/2UM4vlnfWH8yqs8uxWCxYLBYikq7S0LsRwxqNZMXpZYWWN2bVcPot6VHq5x+LOUqYX/Ob/yBViLPWGbD2iNkiWRFVz/u7ZjLv2BzGrBzO+NWjuJx4qcA1i08sYNbejwq5O6+0zDTCk64S5BZcqsXTSsvRwZEp7V7krpXDOBN/itTMVF7dNo2eizvzzOYneK7dVO5pdj8/H52dc09kcgSjVgzhre2v8VbXd/ll8O809W1W5DOctE42rbMQQgiRrcyLLqmqOgOYke/YRGBivmN7gK43XLMqRKeDqVMLdhx37Gjir7+0DB9ecP1gH511oZsm+X4B+P13J+67z4hGAwa9D838mhObFkObwHasPrsSgEvXL+RsWC5Ettw9rEkZiXga/ttBqqV/a9JN6ahxJwhyDULv6IKLowtDGwznmc1P8EL7aQVWJD0ZV/rp5knGJKJTo6jrmX/qevWm01p7WBMzrhOfHmezBaxE1ZBsTGbzpQ0cu/8szg7OfL7/U/r92p2Vw9cR5BaUs8jRP1f+IjYtptiyTGYTnRe0YVjDkdR0r1XstTfi3mb3o8Ye54Pd73Ao+iDN/Vqw956jJKTHUd+7IaGGxnRZ2JZXUl4nIT2epzc/TufgrrzU8RUcHWQpeiGEEJXn1lkdpRKMHJnJqlVOxMQUHBbspHUCIPlKnZxjEREadu/W0qfPfwlu75C++LsE0MS3GSfjTgBwOfEStSRhFfl45+phTcxIxCPXiqAajYY76w9m9dkVRKdG4+fiB0DbwPakGFM4EXucLZc2seXSJgBSM60rVwe5BZfq2adiVRp4N7rlelj0WQlriGddLlw/X7mVERUuMjmcANdA3JzccNI68Wy7F3iu3VSe3PQorec241C0dcmGI9cOcy7hbLFl7Y7cRUJ6Al8cmIW3rny2hBoZOpp/rvzNSx1e4ZvbZ+Pr4kv9rLmy/q7+9KzVm7tWDqXbog6YzJlM7/SaJKtCCCEqnSSs5Sgw0MLQoUa++MKp0POTg3/kiyl3cOaMBrMZXnhBz0MPZeCea+Hg0co47m12P3U863Lx+gXMFjNnEk5Ty6N2BX0KUVX46HyIS4sFrD1+Hvm2sLiz/hBWn11JdEoU/q4BgDWRHdxgGMvPLGXrpc2sO/8HAKvPrqBtYHsSMxJL9ewjMYdRDI1t+GmqBqPZukp3mG9zLl6Xeay3mvDkcILdauQ5NinsYcBCijGZTRc3EJ8Wx5n4U1xKvEimufDdui0WC98f+prJrZ+mZ+3eNPFtWuh1N6tNYDsO33eSIQ2HF3r+3mb3cyzmCBPDHuCDnrOK3AdWCCGEqEiSsJazKVMymD/fmatXC/7Db7g8npgoPd26ufHgg3ouXtTw7LN5hxbX8azLaGUcbk5ueOm82R+1lx8Of8Oo0NEV9RFEFeGt/29bm8SMRNyc8iasHYI6EZEczp7I3fi7BOQcH9pwOCtOLyPJmEREcgQAC47P5bGWkzGZM/n+0NfFPjfZmMysvR/lWTX0VhFqUJg9YD51POtyXnpYbzkRyeEEueVdHEnroGXxoGV83e8HPt8/izZzw7hLGYdWo+XHw98WWs784z9zKk7l0ZaT+WXw70zr+L9yq3NxSWjXmt14vctM3uz6Ls39qv6Kv0IIIaoHSVjLWXCwhQkTMvjwQ2f2788b7uPHHXBzs+DjY+GPPxyZNSsNna7osup61ePhdfdzX7MHaOHfqpxrLqoag86Q08OabEwq0MOqddAysN6dzD02O2dIMEDrgLYkpCdwKk4lIjmcswlnOBF7nAH17iTNlMbL/0zlenpCkc/9YPc7tA/qSK+QPuXzweyY1kHLnfUHU8er7i3fw5qQHk//JT1ZeHxeZVelwoQnhxOUr4cVwFPnxcB6g/ju9jkcmqjyUc9ZjGk8nhnbX8kZJpzt6LUjvL1jBt/d/hOuTpW7kJ6DxoHHWk2WYcBCCCHsiiSsFeCppzJYtcqJ/v3d2LnTOscvLQ3279fy5ZdpbNyYwvr1KSXuqVrPqz6ezl482/aFiqi2qGLcnT1INiYDBeewZruz/mAuXD+fMyQYrD0uAa6BXE66TGRKBAuPz2NU6JicFXABzl8/V+gzD0cf5Bd1IW90fcfGn6ZqqeNRhwtFxKi6ORF7nHvXjCUqJSrP8W8PfYWv3o/X/n2ZyJTISqpdxYpMDi9ynrejgyO9Qvrg7mSd4/Fe9495o8tMXvnnJYwm61Dyvy5vYdSKwczs9gGhPkqF1VsIIYSoSiRhrQDe3jBnTirPP5/OK6/o2LFDy8CBrjRrZqJfv0wCAy2EhRWfrAI802YKc+9YlCeRECKbTqsj3ZQGQKIxEQ+nggnrbTV74OHsiZ+Lf57jHs4eRCaHcznxEgtPzGNCk3sBWDRoKR2DO3M+oWAyZjKbeG7LU7za6XX8Xf0LnL+V1PGsV+UXXYpMieR03Klir0nPTOex9Q9yOekyn+3Lu03L5osbmdz6Ge4KHcvn+z4pz6pWmvi0ON7e8Tq7wndiNBk5Hnuc4FIuTAZwf9hDuDm58eLGqfx0cA4Pr5vID/3nMrzRqHKstRBCCFG1ybifCtKli4lOnUwYjfDYY3qefTaDe+6xbl9TWtmrOQpRGJ1WT1pmOhaLhaSMxJwtNXJz1jrzSIvHaeHfMs9xT2dP0k3pgHVoseJjXUCpd0hf/r68lTPxp1l55nfSTemMCh0DwPeHv8bdyZ2xjSeU8yezf7U8anM16Qoms6nKrpT82d6POBF3gtn95+Kp8yr0mjf+fp3aHrW5t9n9fHvoq5zjFouFE7HHaezbhAbeDem2qAN96/Qn1KAQ7F5wyGxVlJhxnac2PUZyZgqLTszHw9mDYPeadK/Vq9RlaB20fN3vBwYu7c3Ph3/ijxGbaGQILcdaCyGEEFWfJKwVyMEBpk/PYPr0gnu2CnGzXBz1pJvSSMlMQafVFTkPbWqHlwsc83D+b8/WVzq/nudcPa/6vPjXc9TyqI1BZ2BU6BguJV7kk70fsHrEellJFNA76vF18eNq8pUqu0fyhovruHD9PA1/qE34o3EFEu9tl/5h7qGf2XjXNpKMiTm9sWmZaUz7+3l0Wmd89L4AjGk8gbtWDuXeppP4sOenFf5ZysPLf0/FWavjm9tnM/fobBp4N6R3SL8yf/976bz5ffQKTsSckGRVCCGEKAVJWIWoJnRaPemm9CJ7V4uTPd9154QD1POqn+fc0IbDCTUo1PGsS99fu2OxWHjpryk80uIJGng3sln9q7oQzzociNpHfFoc/179h0daPgHAPWvG8GmvL/F18a3kGhbtbMIZUowpTG3/Mu/ueovw5Ks5W2cZTUZmH/mOLw9+xhcDv8Lf1R8fsw/XUqNJMaaw8MQ85h//GQ3/JW5T2k7latIV0kypJT77cPRBHDRaarjXwKD3KbfPeDOiUqL48/wadk04gIujCw+3fPymygv1DSXUN5T4+BQb1VAIIYSovmQOqxDVhM5RT1pmKknGxJyFXkrL09k6BNStkPu8dN50qtGFQLcgEtLj+fXkIi4lXuSJ1k/bpN7VRR3Pujyw9l4eWHsva7P2s7VYLGy9tJnjsUcruXbF23RhPb1D+vJcu6l0DO6cZz7u1submH30e+YOm8fg0MGAdWhrHc+6HI05zGf7PmbhnUvYPObfnHu89QbuD3uwxJWTD0btp/9vvej1SxcWnVhQLp/NFn4++iNDGgy324RaCCGEqM6kh1WIakKv1ZFmSifxBnpYPXXWIcFuTm5FXuOgcSDANZDJGx9h1fD1svhXPjqtdU+qS4kXcc2KY0pmCmmmNE7HneK2mt0rs3rF2nhxPeOb3ANAXc96vL97Jm/p3qO5XwsikyNpH9SRbiF569+1Zjee3TyZ5n4t6FPn9gJlhnjUKTFhfWfXm7zZ9V0S0uOJTYux2ef5fP8skoyJ3F5nAK0C2uCgufF3sxmmDOYc/YFfBy+3Wf2EEEIIUXrSwypENWEdEpxGijGl2MSzMO7OHmjQ4OpY/D6QESnhAHQI7njD9ayu2gS0A8BkMRGfFgdATOo1AM7EF7/6bmVKzUxlZ/gOutfqCVgX4Np+dRv3rRnHtdRrRKdGEeASWOC+gfUGcTJO5fn2LxVabg33mlxLjc5ZzCu/HeHbORV3knuaTsTfNYDofNvk3KgUYwqf7P2AFGMKT258lPbzWhCZHHFDZSUbk/l074coPk1o4tvUJvUTQgghRNlIwipENeHo4IjZYibRmIiLo0uZ7vV09sTNyb3EBWScHJxoF9jhZqpZbU1oei/z7/gFgLj0WICcXsMz8acrrV4l+ffK34T5NcdL5w1A3zr9Gdf4bkY0uotH1t1PePLVQrct6lqzG/Pv+IVWAW0KLdfRwZG6XvWYfeQ7lp76FbPFzJiVw9l0cT0Wi4V3dr7B8+1ewlnrjL9LAFE22Lv1mU1PMO3v52kd0JY3us5k2/g9jGw0mhn/vlLmslIzU+m5uDP7ovYwo/ObN103IYQQQtwYGRIsRDWh0WjQa/XEpcXi6li2HlYPZ89S9cruGL8fd+eyzY+9ldT2rANYk53UzFRi02IIcgvmctKlSq5Z0XaG78gzXLlXSB96hfTBZDYxYsUgZh/5nm/6/VjgPkcHR/rVHVBs2YMbDON/216moXcjPt37IVeTrvLC1md5qMWjRKdEcZcyFoAA1wCiU6Nv+rMsODEXgD9Hbso59nirJ2k7rzlxabFlmoM6/9hPNPUN46eB9ju3VgghhLgVSMIqRDWi0+qIT4+7wR7WkhPW6rKnZnmp5VEbDRrcnNxJSI/nWuo1GhkUTsQcq+yqFelU/EmGNRxR4LjWQcuQBsPZfnUb/q4BN1T2hCb3kmRM4vUub/Orugh/V2tP6sd73ud/nd/M2XrJVkOCDToD28bvxc/FL+eYt95An5C+LDv9G5PCHiry3q2XNtPMrzl+Ln6km9L5fP8s5gycf9N1EkIIIcTNkSHBQlQjekcXaw9rGeew1vGsS1c7XhSoqnB3cmfj6H+o6V6T2LRYYtNiaOTdiLj0WCwWS2VXr1Cn407S0Lvw/UDbBlrn5fq73FjCWsujNm92fQcHjQNjGo+nd0hfxjaewK67DzKowZCc6/xdAriWGn1TMTJbzFzPuI531tDm3MY2vptFx+cVea/FYuHZzZOZucO6B/Ev6kIa+zYpcrizEEIIISqOJKxCVCM6rY7YtLL3sNZwr8lHPWeVU61uLWF+zTHofYhPiyMiOYJA1yBcHd1ISI8HICE93m6S10xzJheun6e+d4NCzzf1DQOsQ3bLk95Rj4uTK9eyFqm6EdfTE3Bzcs/ptc2tR61eRKZEcjyrp/tkrMqZ+FPsCt/JohPzeWfnm6RkJvPbqV9Iykhk1r6Pebbt1BuuixBCCCFsRxJWIaoRvWPWHFan4lf7FeXLW2/g1W3TWHJyMd1r98RH78O11Gt8e/BLwuY04mD0fps851rqNVKMKTd8/8Xr5/F3DSjyBYez1pmzD12tkP1Hb6vZnQ0X1t7w/XHpcXjrDYWe0zpoGa2MY9EJ6xDfLw98xsjlQ5i09m7+uryFecfn0CagHQ28G/HWjhnUcq9Fx+BON1wXIYQQQtiOzGEVohrR5Sy6JAlrZepXpz8RyeE81nIy7s4e+Lr4MWbVcAJcA6nv1YCE9ASbPOfpTY/Rwr8VA+reQcuA1kVeF5cWS4oxhZoetfIc3x+1j5b+Rd8H1mHOFWFYwxHMP/4z45rcfUP3x6XF4qMrPGEFGNt4PEOWDeSVTjM4FnOEq8lX+Kz3V4xtPAGzxUymOZOX/prCj0e+kz1XhRBCCDsiPaxCVCM6rY649DhJWCvZPU0n8kL7abg7ewDg6ujKpcSL/DZkJSGedUjJvPFe0WwJ6fFsubSJj/a8R78lPQq95kriZV7dNo02c8N4atNjBc7vjdxNm6x5qpWtb53+7IvcmzMs2GwxA9ahvt8f+ppMc2ae6/MPq44vpocVoIF3I+p61WP9hbWcjFNZPuwPRoWOAcBB44Cz1pkOwZ1oF9ghZ09aIYQQQlQ+SViFqEZ0WUOCXSRhtSsXEi8A4OrkioujC6k2SFj/PLeGdkFF74kbmxZDz1+64IADK4ev5UD0/pwkMNuuiJ05CytVNjcnN/qE9GXVmeWcijtJ65+bsuTkYob+fgf/t/9T3tv1NiazieWnlzLwtz6MWD4oz/1xaXEYiulhBRjbeALv7XoLP9cAOtfoWmC+6xhlPL8NXVnifsRCCCGEqDiSsApRjei1OuLS4mQOq53xcvaigXdDAFwcXUk1pt50mSvP/M7dTe7jra7vUtsjpMD5fZF7aOHfite7vp2zENSZ+NM55/dE7CI2NYZ2gUUnvRVtWKNRLD+9lOe2PEkz3zAe3/AQd9QfxJoRG/jp6A98uu9DPt7zPo+1nMzha4eIyrUVTkRyRLE9rGAddnzh+nkeazm50PMajabMC5YJIYQQonzJHFYhqhG9owspmcnSw2pnlg1dhYPG+n7wZntYM82ZpBiT+ffqNr7s+x0pmSn83/5PC1y3P2ofrf3/25allX9rDkUfoJEhlGRjMlO2PMXUDi/jpHW64brYWu+Qvjy16TEaeDXgpyELORi9P6cXeVD9oby362023PUXLfxbsebcKib+MZ7IlAjSTekYTRm80fWdYsv3cPZkx4T9BLoGVcTHEUIIIYQNSMIqRDWi0+oApIfVznjqvHL+38XRlZTMG+thvZZ6ja4L2nKXMpYuNbriqfPCgoXUfOUZTUY2XdzA5NbP5Byr51Wfi9etQ5PnHPmBel4NGKOMv6F6lBedVseW0f8S6BaEo4NjniHPH/acxX3NJtHCvxUA73f/mN9O/Uq7oA5467yp5V67VEN5g9yCy63+QgghhLA9SViFqEb0Wj2ADGu0YzfTw7r10ia89QaWn17GW7e9m1Wea4Hy5h//GZ1WR986t+ccq+0RwoGofaSb0vnm0BfMv+MXu5yrmX8l42wOGoc8KyF76ry4P+zBiqqWEEIIISqJzGEVohr5b1Vat0quiSiKi5NrgR7R0tp8aSOPtpzM4YknGdpwBABODk6YLWaMJmPOdZEpEXSpcVtOjztYE9YLiRdYoi6miU9Tmvu3vLkPIoQQQghRASRhFaIaGZaVxOgddSVcKSqL6030sJ5LOEsTn6Z5jlkXCnIlzfRfEpyYcR2vXMOQAUI8Q7iQcI7PD3zKU22eu6HnCyGEEEJUNElYhahG2gS24+k2U6jhXviwSlH5rEN4b6yHNTYtBl8Xv0LKdMkzLzYhPQEvnXeea2q61+Zi4gUMOh+61Ljthp4vhBBCCFHRZA6rENXM9E6vVXYVRDFcHF1ueFubmNRr+Lr4FizTyZVU43+9tgkZCXg4e+a5Ru+o5/vbf6JXSB+7nLsqhBBCCFEYSViFEKICFbZIUmkYTUaSjEl46wruNerq6EKaKS3n68T0gkOCAYY0HF7m5wohhBBCVCYZEiyEEBXIukpwwR5Wi8XCo+sfICE9vtD7YtNj8dYZcvZzLVBmvh5Wz3w9rEIIIYQQVZEkrEIIUYGs+7AW7GGNSA5n6alfWXVmRaH3xaRew1dfcDgwgD5fEnw9PQFP54I9rEIIIYQQVY0MCRZCiArk4lSwh/Vq0hWmbn0Wb5037+x6k31Re+kQ1JGOwZ2p41kXjUaTNX+14IJLUHBv1+sZCYUOCRZCCCGEqGokYRVCiAqUe1ub8KSrBLvXYNWZ5ay78Cf3NJ3IvU3vZ2f4dtZfWMtbO2ZgwUKHoE44a52LSVhd+e3Ur9xWqwdODk5cz7heYNElIYQQQoiqSBJWIYSoQK6ObsSnxRGbFkPbeWH8M3YXcelxdAruwtNtphDiWYeWAa15uOXjWCwWLiZeYFf4DnZF7KRDUMdCy3TQOLDk5GIG1R9Kt1rdcXF0xdFBfrwLIYQQouqT32iEEKICBbkF0yG4E2/8+z8yzZl8uu8jLBYLYxtPIMSzTp5rNRoNdTzrUsezLncpY4ss80TMMQD+OLeK5v4t8JL5q0IIIYSoJmTRJSGEqEAajYZRoWPYcmkTDb0bse78H+wM305tj5AbLjPNlIaDxoH1F/7kbPwZanveeFlCCCGEEPZEElYhhKhgAa6BXE2+Ql3Pekxs9gDnr5+jlkftGy5vzciNHL//LCEedVh0Yj51PevZsLZCCCGEEJVHElYhhKhgga6BAPi6+PFwy8fpENSJmu61bqo8g96HgfUG8fvp36jnVd9WVRVCCCGEqFSSsAohRAULcAsCwEfvi4/el1Uj1uGsdb7pcu+oPxiTxURdL+lhFUIIIUT1IAmrEEJUMHcnd1wd3YrcpuZGhRoUmvg0pbFPU5uWK4QQQghRWWSVYCGEqASBboH46n1tWqZGo2HzmH9x0Mi7SCGEEEJUD/JbjRBCVIIgt2D8XP1tXq4kq0IIIYSoTqSHVQghKsFHPT67qZWBhRBCCCFuBZKwCiFEJWhoaFTZVRBCCCGEsHsydkwIIYQQQgghhF2ShFUIIYQQQgghhF2ShFUIIYQQQgghhF2ShFUIIYQQQgghhF2ShFUIIYQQQgghhF0q9SrBiqI8BEwFagEHgOdUVd1ezPVdgPeBlkA08BMwU1VV403VWAghhBBCCCHELaFUPayKotwLfA3MA0YC8cBaRVHqFXF9A2AdkJR1/SfAi8A7NqizEEIIIYQQQohbQIkJq6IoGuAN4FtVVV9XVXUNMAS4BjxbxG2jAC0wUlXVdaqq/h/wKfBwVnlCCCGEEEIIIUSxStPD2hCoA6zIPpA1rHc1MKCIe3SAEUjNdSwGcM86J4QQQgghhBBCFKs0CWto1p+n8x0/CzRQFEVbyD3zARPwjqIoPoqitAeeAZapqpp2w7UVQgghhBBCCHHLKM2iS55ZfybmO56INeF1A67nPqGq6hlFUZ4HvsW6UBPAPuD+G6mkt7frjdxWJEdHh3Ip91YksbQdiaVtSTxtS+JpOxJL25J42o7E0nYklrYl8bSdqhjL0vSwZs85tRRx3Jz/BkVRHgS+z/qvD3APYABWK4oiQ4KFEEIIIYQQQpSoND2sCVl/egCRuY67Y01Wkwu55yVgjaqqj2QfUBRlD3AcmAD8WJZKxsenlOXyEmW/UbB1ubciiaXtSCxtS+JpWxJP25FY2pbE03YklrYjsbQtiaft2Gss/f09ijxXmh7WU1l/1s93vD6gqqqav+cVoDawI/cBVVVPYF14qWkpnimEEEIIIYQQ4hZX2oT1EjAs+4CiKE7AncDGIu45CXTNfUBRlIaAL3DuhmoqhBBCCCGEEOKWUuKQYFVVLYqivAt8rihKHLANmAz4AZ8AKIrSAPBXVTW7V/UN4BdFUb4HFgJBwAzgPPCzjT+DEEIIIYQQQohqqDQ9rKiq+iXwAtbFk5YA3kB/VVXPZl3yKrA91/W/AiOBNsAa4B3gL6Cjqqr5VxsWQgghhBBCCCEKKM2iSwCoqvoR8FER5yYCE/MdWwosvYm6CSGEEEIIIYS4hWkslsLWTBJCCCGEEEIIISpXqYYECyGEEEIIIYQQFU0SViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdkkSViGEEEIIIYQQdsmxsiuQTVEULfA08BAQAlwAvgS+UFXVoiiKBngZeATwA7YBT6qqeqKI8j4BGqmqOqiYZ/YENgG9VVXdUoa6Pg08pKpqWL7jPsBbwJ2AATgKvKKq6sbSlm0LFRVLRVGeBz4o5JbBqqquKqZ+ZX2+AhwEHlVVdU5R5ZaX6hBPRVEMwPtYvzf1wN/As6qqni05ArZj77HMV4Zdt/OsulRUPB2BV4H7s8o5Akwr6TNXpbZeHWJpL+08qy52Hc98Zdh1W6+IWCqKMge4r4gqbFFVtVcx9ZN2XoGxvNXa+c3EM1/Zt3w7zzpeG/gI6AWYgXXAFFVVo0qoX6W2c3vqYX0VmAnMA4YAvwCfAi9knSWBlFgAAAqMSURBVP8f8ArwITAW8AI2Korilb8gRVEmA88U9zBFUVyA7wFNWSqpKMpwCvlFOOsvcklW3V8DRgHngXWKonQuyzNsoKJi2QLrD8rO+f77p4T6leX5GuAHQFdCmeWpOsRzYVbdXwLuBWpnXeNeQtm2Zu+xzC67KrRzqLh4fgY8B7wDDAOuAKsURWlcQv2qUluvDrG0l3YO9h/P7LKrQluviFi+ScGfl9Oyzn1fQv2knedV3rG81dr5zcQzu2xp59bjTsBqoA3wGPAE0BVYkZUwF6dS27ld9LAqiuKA9R+cD1RVfTvr8EZFUfyB5xVF+Qp4HpihqupnWff8jfXtwwPAx1nHAoD3sDbghBIe+xbWN1OlraMH1r+sKUB8IZe0w/q2om/2WxlFUTYAzYBnge2lfdbNqOBYtgD+VFV1Rxnq51Ga5+cyGahb2vJtrTrEM+vZ/YEHVFX9Oeuak4AKDMD6w7rc2Xsss8quEu0867kVEk9FURoBjwKjVVVdknVsC9Y3p32Aot6uVpm2Xh1iaS/tPOu5dh3PrOuqRFuvqFiqqnoGOJPruZ5Yf2H+WVXV+cXUT9p5PuUZy1uxnd9oPLOulXaeVxugOdBHVdVNWfdcB9YCrYE9RdSv0tu5vfSwegE/A0vzHVcBf6A34A6syDmhqnHAVqwNNNvLwG1YG/OBoh6mKEoHrP/ITSlDHR8AJmT9t6KQ82asb3q25aqjGTgN1CvDc25WhcRSsQ7DagwcKmP9OpXy+SiKUhd4G+s3fmWpDvHMfjFzPdd9MVl/+pTxeTfD3mMJVaedQ8X93BwKxAK/5SonQ1XVJqqqflFM/apSW68OsbSXdg72H0+oOm29Qn8/ymUa4Ml/vTtFkXZeMlvG8lZs5/mVNp4g7Ty/7B7Psn7/VHo7t4uEVVXVOFVVJ6uquj/fqcHAZaBW1tdn8p0/C4Tm+voroImqqhuKepaiKM7Aj1i73dUyVHMF0EBV1YWFnVRVda+qqg+pqpqW61meQHeKectraxUYy8ZYv/EHKIpyQVEUo6Io2xVF6VhCFbOfUdLzAb4FFgNbSiiz3FSHeKqqehFYBUxXFKVx1hu4z7D+wFpTQvk2UwViCVWknWfVpaLi2QLrZxupKMpxRVEyFUU5oChKjxKqWGXaenWIpb2086y62Hs8oYq09Yr8/SiboihBWIcTvqeWMK8NaefFsnUsb9F2nqOM8QRp5/n9izWRnakoSoiiKCFYe2QvUfyUqUpv53YxJLgwiqI8CPQFnsL6JiVdVdWMfJclZp0DQFXV0iSgr2B9o/I+1i7/UlFvbDL7F1jfmuTvKq9Q5RTLFll/BgEPAi7Ai8AmRVHaqkVMwi7t8xVFmQSEAaNLqEeFq4rxxDqRfz1wPOvrNGCQqqqXS6hXubKzWFbpdg7lFk9/oBHWuTQvA5FYhwb9oShKU1VVzxdxX5Vu61UxlthpOwe7i2eVbuvl+PtRtkeBTKy//JZE2nnxbB5Lbr12nltZ4intPB9VVTMVRXkI+APrcF6wjlLpqapqSjG3Vno7t8uEVVGUCcDXWMfif461+99SyKUarMlnacttjnUIQQ9VVY2KohR2Tf6YmFRVLezZxT1Hg7XedwNPFfLGpMKUVyyxrq48GFirqqox61mbsQ6jeAF4oLBYZj2n2OcrihKMdQWzB1VVjVcUxbsM9SpXVTSeNbHOw4jCuqDAdayr0C1TFOV2tYzzPG3F3mJZldt5Vn3KK55OQADWn5t/ZT3rH6xvWqcCj1e3tl5FY2mX7TyrbnYVz6rc1ssxltnla7C+6PtJVdX4fOeknZet/PKI5a3YzrPLL1M8pZ0XWm4rrD2f+7D2rFqwvuRbqyhKd1VVT9trO7eLIcG5KYryLDAX65CHCVnfcAmATrGubpWbOyUvrpRdrhbrUODvgH1ZfyHZK2Jplf9WxzLm+6+opbSLeo4zsAh4HHhJVdX/K8v9tlResQRQVTVCVdVV2QlB1rFErMMNWmYdKiyWpXn+l1hXeF2e7+/JQSl5FbNyU4XjeT/WpdoHqKr6m6qq64ExWJduf7+0dbQlO41lWepvN+08qz7lFk8gCUjB2iYBUFU1GesvTc2zDlWbtl6FY2l37RzsNp5lqb/dtPVyjmW29kBNrJ85P2nnZVMesbwV23m2ssaz1G6hdj4ZSAbuUFV1taqqa4A7gHSsi1OBnbZzu+phVRRlJta3CD9jXQEtM+vUKaxZfD3gZK5b6lP6eai1sa4G1g54Mt+5DVgnDvfE2iByO1fK8lGsW+WsxLri2GOqqn5d2nttrZxjiaIo3YEaqqrm/8HhAlzL+v/CYtm2FM8flvWnkbx+wNqg6pa2nrZSxeNZG7ikquqV7JOqdU+vbcDE0tbRVuw4lqUt327aeVZ9yjWeWHumB2D9xycz13En/nvjWi3aehWPpV21c7DreJaKPbX1CohltgFYh1ZvK+SctPOyKY9Y3ortPFtZ41kqt1g7rw0cUVU1KfuAqqppiqLsBZpmHbLLdm43Cati3dB3GjAL6wbIubue/8U6Rn8YWW+QFOvGyT2A10v5iKsU/EsIBeZjHRO/BUBV1UKXdC6l+Vl1Gqeq6i83Uc5NqYBYgnXLgJcURdmiqmpEVjlBWPdzmgmFx1JRlNI8P//fkzuwOev8b1SwahDPk8AkRVFq5Zvj0pEy/FC3BXuOZRnYRTuHCovnOqwrqg8GlmWV4w10wbq4QrVo69UglnbTzrPqZ7fxLAO7aOsVFMtsHYBdhQ2nlHZeZuURy1uxnWcrUzzL4FZq5yeBsYqiuGcnrVm9y62xDhO223ZuFwmrYh33/B7/394dq8QRB3Ec/1mlsZPkFaax1yKxyAuolZ0+gRCwTBESAkKwiKRKEbCysTZFRMgD2IhYTBEIKZIyFsFKvBSzh3vxzt273K2z3vcDxxV7e7s7dwM3e/P//6UzxV/yC9Y7vvRE0gdJb83sWhHwl4re/VqLBnsMFO75EMzs6mbzUIO++13DqqRVxV2RH2a2WNp86e6jLLExynlMPJaFj4oFhw/N7LViVtZXiumxB7ZSuPsfM7vz+P8mi930wX9397MhzvG/PYR4KlrhXygmInlTbFtXFHArt991MrLHsuY1pMjz4lyaiueRpGNJn8xsTnHzr7to++6gndqU6w8hlkqS51L+eNa8hhS53mAsu+YlHdR9MXl+p7HHUtOZ511DxbOOKczz94rvy2cz21GMP91UtFqvDdopQ56nKFgV6wU9Uow56bdI72PFDIDXisHBs4q7DRvuPkof/CQsF8/rxaPsXJFoTWgklu7+06L18p2kPUVL1hdJW+VWgwGyf5ZlrY+nu/82s6eSdhRjuGcknUp67u5f657jGLQhllWy5LnUXDw7ZrYiaVuxttpscbwld/9VsXtbcr31sUyU51I74lklS643/fvoiaSLylf1Is/7G3sspzHPS0aJZ5WpynN3/2ZmzxTF8b7iX9MTSYvuXrUG7r3m+UynM9QkWgAAAAAANCLdLMEAAAAAAEgUrAAAAACApChYAQAAAAApUbACAAAAAFKiYAUAAAAApETBCgAAAABIiYIVAAAAAJASBSsAAAAAICUKVgAAAABASn8Bz8tb3iacTCAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb9d7128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (16,8))\n",
    "plt.plot(df.index, df.cum_bond, lw = 1, color = 'red', label = 'Bond')\n",
    "plt.plot(df.index, df.cum_alpha, lw = 1, color = 'blue', label = 'Alpha')\n",
    "plt.plot(df.index, df.cum_hs300, lw = 1, color = 'green', label = 'Hs300')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xc581860>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xba37e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (16,8))\n",
    "plt.plot(df.index, df.cum_weighted, lw = 1, color = 'purple', label = 'Combined')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算各标的收益率指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各标的年化收益率为(%)：\n",
      "bond         3.769510\n",
      "alpha       14.670861\n",
      "300          9.092818\n",
      "Combined     6.975059\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print('各标的年化收益率为(%)：')\n",
    "print(np.mean(df[['bond', 'alpha', '300', 'Combined']]) * 242 * 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各个标的年化波动率为(%)：\n",
      "bond         1.235005\n",
      "alpha       17.597373\n",
      "300         25.981319\n",
      "Combined     6.972358\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print('各个标的年化波动率为(%)：')\n",
    "print(np.std(df[['bond', 'alpha', '300', 'Combined']]) * np.sqrt(242) * 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各个标的年化Sharpe Ratio为(%)：\n",
      "bond        0.623083\n",
      "alpha       0.663216\n",
      "300         0.234508\n",
      "Combined    0.570117\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "risk_free_rate = 0.03 / 242  \n",
    "print('各个标的年化Sharpe Ratio为(%)：')\n",
    "print(np.mean(df[['bond', 'alpha', '300', 'Combined']] - risk_free_rate)/np.std(df[['bond', 'alpha', '300', 'Combined']]) * np.sqrt(242))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bond</th>\n",
       "      <th>alpha</th>\n",
       "      <th>300</th>\n",
       "      <th>Combined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>bond</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.035121</td>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.089642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alpha</th>\n",
       "      <td>-0.035121</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.261822</td>\n",
       "      <td>0.693250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.261822</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.869959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Combined</th>\n",
       "      <td>0.089642</td>\n",
       "      <td>0.693250</td>\n",
       "      <td>0.869959</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              bond     alpha       300  Combined\n",
       "bond      1.000000 -0.035121  0.001408  0.089642\n",
       "alpha    -0.035121  1.000000  0.261822  0.693250\n",
       "300       0.001408  0.261822  1.000000  0.869959\n",
       "Combined  0.089642  0.693250  0.869959  1.000000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['bond', 'alpha', '300', 'Combined']].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 沪深300成份股年化波动率 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "START_DATE, END_DATE = 20160101, 20180328\n",
    "UNIVERSE = '000300.SH'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialize config success.\n",
      "Query data...\n",
      "Query data - query...\n",
      "NOTE: price adjust method is [post adjust]\n",
      "238\n",
      "477\n",
      "238\n",
      "477\n",
      "46\n",
      "93\n",
      "140\n",
      "187\n",
      "234\n",
      "281\n",
      "328\n",
      "375\n",
      "422\n",
      "469\n",
      "516\n",
      "563\n",
      "WARNING: some data is unavailable: \n",
      "    At fields \n",
      "Query data - daily fields prepared.\n",
      "Query instrument info...\n",
      "Query adj_factor...\n",
      "Query benchmark...\n",
      "Query benchmar member info...\n",
      "Query groups (industry)...\n",
      "Data has been successfully prepared.\n"
     ]
    }
   ],
   "source": [
    "dataview_props = {# Start and end date of back-test\n",
    "                  'start_date': START_DATE, 'end_date': END_DATE,\n",
    "                  # Investment universe and performance benchmark\n",
    "                  'universe': UNIVERSE, 'benchmark': UNIVERSE,\n",
    "                  # Data fields that we need\n",
    "                  'fields': 'free_share,total_share,float_share,float_mv,sw1',\n",
    "                  # freq = 1 means we use daily data. Please do not change this.\n",
    "                  'freq': 1}\n",
    "\n",
    "# DataView utilizes RemoteDataService to get various data and store them\n",
    "dv = DataView()\n",
    "dv.init_from_config(dataview_props, ds)\n",
    "dv.prepare_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算个股日收益率及相应波动率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "dv.add_formula('daily_ret', 'Return(close_adj, 1)', is_quarterly = False)\n",
    "daily_ret = dv.get_ts('daily_ret')\n",
    "daily_std = np.std(daily_ret, axis = 0) * np.sqrt(242)\n",
    "daily_std = daily_std.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "沪深300成份股年化波动率中位数为: 0.332\n",
      "沪深300成份股年化波动率0.25分位数为: 0.285\n",
      "沪深300成份股年化波动率0.75分位数为: 0.393\n"
     ]
    }
   ],
   "source": [
    "print('沪深300成份股年化波动率中位数为: %.3f' % np.median(daily_std))\n",
    "print('沪深300成份股年化波动率0.25分位数为: %.3f' % np.percentile(daily_std, 25))\n",
    "print('沪深300成份股年化波动率0.75分位数为: %.3f' % np.percentile(daily_std, 75))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算指数日收益率及相应波动率 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "benchmark_ret = (dv.data_benchmark.diff()/dv.data_benchmark.shift(1)).dropna().values\n",
    "benchmark_std = np.std(benchmark_ret) * np.sqrt(242)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "沪深300指数年化波动率为: 0.176\n"
     ]
    }
   ],
   "source": [
    "print('沪深300指数年化波动率为: %.3f' % benchmark_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xe9d4780>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc4b9e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18,18))\n",
    "v = daily_std.values\n",
    "avgRet = np.median(v)\n",
    "pct_25 = np.percentile(daily_std, 25)\n",
    "pct_75 = np.percentile(daily_std, 75)\n",
    "stdRet = np.std(v)\n",
    "x = np.linspace(avgRet - 3*stdRet, avgRet + 3*stdRet, 100)\n",
    "y = mlab.normpdf(x, avgRet, stdRet)\n",
    "kde = stats.gaussian_kde(v)\n",
    "\n",
    "# plot the histogram\n",
    "plt.subplot(211)\n",
    "plt.hist(v, 50, weights = np.ones(len(v))/len(v), alpha = 0.4)\n",
    "plt.axvline(x = benchmark_std, color = 'red', linestyle = '--', linewidth = 0.8, label = '300 Index Std')\n",
    "plt.axvline(x = avgRet, color = 'grey', linestyle = '--', linewidth = 0.8, label = 'Median Stock Std')\n",
    "plt.axvline(x = pct_25, color = 'blue', linestyle = '--', linewidth = 0.8, label = '25% Std')\n",
    "plt.axvline(x = pct_75, color = 'blue', linestyle = '--', linewidth = 0.8, label = '75% Std')\n",
    "plt.ylabel('Percentage', fontsize = 10)\n",
    "plt.legend(fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
